Výsledky vyhledávání - "ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement"

Robust Vegetation Detection Using RGB Colour Composites and Isoclust Classification of the Landsat TM Image

Autoři: Lemenkova, Polina Ecole Polytechnique de Bruxelles Université libre de Bruxelles (ULB)

Přispěvatelé: Lemenkova, Polina Ecole Polytechnique de Bruxelles Université libre de Bruxelles (ULB)

Zdroj: ISSN: 2300-1496 ; Geomatics, Landmanagement and Landscape ; https://hal.archives-ouvertes.fr/hal-03606304 ; Geomatics, Landmanagement and Landscape, University of Agriculture in Krakow, 2021, 4, pp.147-167. ⟨10.15576/GLL/2021.4.147⟩ ; https://gll.urk.edu.pl/index/site/7770.

Témata: cartography, Iceland, remote sensing, Arctic, ArcGIS, mapping, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering

Relation: hal-03606304; https://hal.archives-ouvertes.fr/hal-03606304; https://hal.archives-ouvertes.fr/hal-03606304/document; https://hal.archives-ouvertes.fr/hal-03606304/file/GLL-4-11_2021.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03606304
https://hal.archives-ouvertes.fr/hal-03606304/document
https://hal.archives-ouvertes.fr/hal-03606304/file/GLL-4-11_2021.pdf
https://doi.org/10.15576/GLL/2021.4.147

Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland

Autoři: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Přispěvatelé: Lemenkova, Polina Schmidt United Institute of Physics of the Earth Moscow (IPE) Russian Academy of Sciences Moscow (RAS)

Zdroj: EISSN: 2543-8050 ; Advanced Research in Life Sciences ; https://hal.archives-ouvertes.fr/hal-03030414 ; Advanced Research in Life Sciences, Sciendo, 2020, 4 (1), pp.70-78. ⟨10.2478/arls-2020-0021⟩

Témata: Landsat TM, QGIS, NDVI, Vegetation Index, Cartography, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [SDV.BDD]Life Sciences [q-bio]/Development Biology, [SDV.BID]Life Sciences [q-bio]/Biodiversity, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology

Relation: hal-03030414; https://hal.archives-ouvertes.fr/hal-03030414; https://hal.archives-ouvertes.fr/hal-03030414/document; https://hal.archives-ouvertes.fr/hal-03030414/file/25438050%20-%20Advanced%20Research%20in%20Life%20Sciences%20Hyperspectral%20Vegetation%20Indices.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03030414
https://hal.archives-ouvertes.fr/hal-03030414/document
https://hal.archives-ouvertes.fr/hal-03030414/file/25438050%20-%20Advanced%20Research%20in%20Life%20Sciences%20Hyperspectral%20Vegetation%20Indices.pdf
https://doi.org/10.2478/arls-2020-0021

Homogeneity of a region in the logarithmic image processing framework: application to region growing algorithms

Autoři: Jourlin, Michel Noyel, Guillaume Laboratoire Hubert Curien (LabHC) a další

Přispěvatelé: Jourlin, Michel Noyel, Guillaume Laboratoire Hubert Curien (LabHC) a další

Zdroj: Physics and Mechanics of Random Structures: from Morphology to Material Properties ; https://hal.science/hal-01822522 ; Physics and Mechanics of Random Structures: from Morphology to Material Properties, Jun 2018, Ile d'Oléron, France. pp.5-7 ; http://cmm.ensmp.fr/~willot/PMRM/

Témata: chaining effect, region growing, homogeneity, heterogeneity criterion, segmentation, LIP, Logarithmic Image Processing, low-contrasted images, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Geografické téma: Ile d'Oléron, France

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1806.10472; ARXIV: 1806.10472

Dostupnost: https://hal.science/hal-01822522
https://hal.science/hal-01822522v1/document
https://hal.science/hal-01822522v1/file/2018_JourlinNoyel_Ws_DJ.pdf

Contrast enhancement of eye fundus images

Autoři: Noyel, Guillaume Jourlin, Michel Thomas, Rebecca a další

Přispěvatelé: Noyel, Guillaume Jourlin, Michel Thomas, Rebecca a další

Zdroj: IDF2015 - World Diabetes Congress ; https://hal.science/hal-01243876 ; International Diabetes Federation. IDF2015 - World Diabetes Congress, Nov 2015, Vancouver, Canada. , IDF2015 - World Diabetes Congress 2015, 1110-P, 2015, ⟨10.13140/RG.2.1.3180.9367⟩ ; www.idf.org

Témata: Contrast enhancement, Eye fundus image, Colour image, Public health, Diabetic retinopathy screening, Image analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Geografické téma: Vancouver

Time: Vancouver, Canada

Relation: https://hal.science/hal-03162208v1; info:eu-repo/grantAgreement//717108/EU/Eye fundus colour images enhancement service for Diabetic Retinopathy diagnosis/Eye Light

Dostupnost: https://hal.science/hal-01243876
https://hal.science/hal-01243876v1/document
https://hal.science/hal-01243876v1/file/062V_Noyel_v3.pdf
https://doi.org/10.13140/RG.2.1.3180.9367

Asplünd's metric defined in the Logarithmic Image Processing (LIP) framework for colour and multivariate images

Autoři: Noyel, Guillaume Jourlin, Michel International Prevention Research Institute (IPRI) a další

Přispěvatelé: Noyel, Guillaume Jourlin, Michel International Prevention Research Institute (IPRI) a další

Zdroj: IEEE International Conference on Image Processing ICIP 2015 ; https://hal.science/hal-01215504 ; IEEE International Conference on Image Processing ICIP 2015, IEEE Signal Processing Society, Sep 2015, Québec City, Canada. pp.3921 - 3925, ⟨10.1109/ICIP.2015.7351540⟩ ; http://www.icip2015.org/

Témata: Colour image analysis, Multivariate image analysis, Asplund’s distance, pattern recognition, double-sided probing, Logarithmic Image Processing, colour and multivariate images, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Geografické téma: Québec City

Time: Québec City, Canada

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1803.00764; ARXIV: 1803.00764

Dostupnost: https://hal.science/hal-01215504
https://hal.science/hal-01215504v2/document
https://hal.science/hal-01215504v2/file/NoyelJourlin_ICIP2015.pdf
https://doi.org/10.1109/ICIP.2015.7351540

Forest Monitoring Using Remote Sensing Data and ILWIS GIS

Autoři: Lemenkova, Polina Ocean University of China (OUC) Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU a další

Zdroj: Recent Research Directions in the XXI Century: Theory and Practice ; https://hal.archives-ouvertes.fr/hal-01974737 ; Recent Research Directions in the XXI Century: Theory and Practice, Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU, Dec 2015, Voronezh, Russia. pp.346-350, ⟨10.6084/m9.figshare.7210364⟩ ; http://www.conf.vglta.vrn.ru/conference/arkhiv/anni-9-2-2015/index.php

Témata: Landsat 7 ETM+, Land cover map, GIS & Spatial Analyses, Vegetation Cover, GIS, Land cover change, GIS Climat Environnement Société, SIG Raster, SIG Systèmes d'information géographique, SIG et modélisation spatiale, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.3: Statistical, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.2: Quantization, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation/I.5.5.1: Special architectures, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Geografické téma: Voronezh, Russia

Relation: hal-01974737; https://hal.archives-ouvertes.fr/hal-01974737; https://hal.archives-ouvertes.fr/hal-01974737/document; https://hal.archives-ouvertes.fr/hal-01974737/file/Lemenkova_Voronezh_VGLTU.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01974737
https://hal.archives-ouvertes.fr/hal-01974737/document
https://hal.archives-ouvertes.fr/hal-01974737/file/Lemenkova_Voronezh_VGLTU.pdf
https://doi.org/10.6084/m9.figshare.7210364

A Technical Approach of Image Segmentation in ENVI GIS to Identify Thematic Clusters for Visualization of Urban Transformations

Autoři: Lemenkova, Polina Ocean University of China (OUC) South West State University (YuZGU) a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) South West State University (YuZGU) a další

Zdroj: Reality - the Sum of Information Technologies ; https://hal.archives-ouvertes.fr/hal-01974739 ; Reality - the Sum of Information Technologies, South West State University (YuZGU), Dec 2015, Kursk, Russia. pp.100-104, ⟨10.6084/m9.figshare.7210346⟩ ; https://elibrary.ru/item.asp?id=25489451

Témata: Image classification, Satellite image interpretation, Landsat TM and ETM data, Landsat Imagery, Land cover mapping, GIS & Spatial Analyses, Image segmentation, Mapping Modeling, SIG Raster, SIG et modélisation spatiale, SIG Systèmes d'information géographique, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation/I.4.10.3: Statistical

Geografické téma: Kursk, Russia

Relation: hal-01974739; https://hal.archives-ouvertes.fr/hal-01974739; https://hal.archives-ouvertes.fr/hal-01974739/document; https://hal.archives-ouvertes.fr/hal-01974739/file/Lemenkova_Techn_Approach.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01974739
https://hal.archives-ouvertes.fr/hal-01974739/document
https://hal.archives-ouvertes.fr/hal-01974739/file/Lemenkova_Techn_Approach.pdf
https://doi.org/10.6084/m9.figshare.7210346

Analysis of Landsat NDVI time series for detecting degradation of vegetation

Autoři: Lemenkova, Polina Ocean University of China (OUC) Belgorod State University’ (BelSU) a další

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Belgorod State University’ (BelSU) a další

Zdroj: Geoecology and Sustainable Use of Mineral Resources. From Science to Practice ; https://hal.archives-ouvertes.fr/hal-01986800 ; Geoecology and Sustainable Use of Mineral Resources. From Science to Practice, Belgorod State University’ (BelSU), Apr 2015, Belgorod, Russia. pp.11-13, ⟨10.6084/m9.figshare.7211795.v1⟩ ; https://ggf.bsu.edu.ru/Conferences/Conf_04_2015/conf_04_2015.htm

Témata: Satellite image time series, NDVI satellite data, NDVI index, Environmental monitoring, Environmental modeling, SIG et modélisation spatiale, SIG et aménagement, GIS Geographic Information System, Satellite image analysis, Image classification, GIS & Spatial Analyses, SIG Systèmes d'information géographique, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation/I.3.3.5: Viewing algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Geografické téma: Belgorod, Russia

Relation: hal-01986800; https://hal.archives-ouvertes.fr/hal-01986800; https://hal.archives-ouvertes.fr/hal-01986800/document; https://hal.archives-ouvertes.fr/hal-01986800/file/Lemenkova_Belgorod-Paper2015.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01986800
https://hal.archives-ouvertes.fr/hal-01986800/document
https://hal.archives-ouvertes.fr/hal-01986800/file/Lemenkova_Belgorod-Paper2015.pdf
https://doi.org/10.6084/m9.figshare.7211795.v1

Processing remote sensing data using Erdas Imagine for mapping Aegean Sea region, Turkey ; Обработка данных ДДЗ с использованием ПО Erdas Imagine для картографирования региона Эгейского моря, Турция

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Informatics. Problems, Methodology, Technologies ; https://hal.archives-ouvertes.fr/cel-01991382 ; Informatics. Problems, Methodology, Technologies, Feb 2015, Voronezh, Russia. pp.29, ⟨10.6084/m9.figshare.7434584.v1⟩

Témata: Spatial analysis, GIS Data Modelling, GIS Geographic Information System, Image analysis and processing, Image analysis, Image classification, Landsat Imagery, Landsat 7 ETM+, Image processing Pattern recognition, Image processing Image recognition, Image processing Digital image processing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.0: Algorithms, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering/I.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation/I.5.5.1: Special architectures, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration

Geografické téma: Voronezh, Russia

Relation: cel-01991382; https://hal.archives-ouvertes.fr/cel-01991382; https://hal.archives-ouvertes.fr/cel-01991382/document; https://hal.archives-ouvertes.fr/cel-01991382/file/Lemenkova_present_Voronezh022015.pdf

Dostupnost: https://hal.archives-ouvertes.fr/cel-01991382
https://hal.archives-ouvertes.fr/cel-01991382/document
https://hal.archives-ouvertes.fr/cel-01991382/file/Lemenkova_present_Voronezh022015.pdf
https://doi.org/10.6084/m9.figshare.7434584.v1

Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS ; Спутниковое картографирование заболоченных ландшафтов тундры с помощью ILWIS GIS

Autoři: Lemenkova, Polina Ocean University of China (OUC) Volga State University of Technology

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Volga State University of Technology

Zdroj: Actual Problems of the State and Management of Water Resources ; https://hal.archives-ouvertes.fr/hal-01999801 ; Actual Problems of the State and Management of Water Resources, Volga State University of Technology, Mar 2015, Yoshkar-Ola, Russia. ⟨10.6084/m9.figshare.7434620.v1⟩

Témata: Image analysis, Image Processing and Computer Vision, Image Processing Computer-Assisted, Satellite Imagery, Landsat TM and ETM data, Landsat TM and ETM images, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.7: Shading, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.10: Surface fitting, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.0: Filtering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.3: Registration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.5: Smoothing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences

Geografické téma: Yoshkar-Ola, Russia

Relation: hal-01999801; https://hal.archives-ouvertes.fr/hal-01999801

Dostupnost: https://hal.archives-ouvertes.fr/hal-01999801
https://doi.org/10.6084/m9.figshare.7434620.v1

To the question of the environmental education: how Landsat TM, ETM+ and MSS images can be processed by GIS-techniques for geospatial research

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: Trends and Perspectives in Creating Regional Systems of the Additional Education of Adults ; https://hal.archives-ouvertes.fr/hal-02425703 ; Trends and Perspectives in Creating Regional Systems of the Additional Education of Adults, Jun 2015, Vitebsk, Belarus. pp.25, ⟨10.13140/RG.2.2.14649.52320⟩

Témata: Landsat, Image processing, Mapping, Cartographic analysis, Geographic Information Science, Geographic Information System, GIS Analysis, Computer Aided Design, Computer science, Computer science and technology, Cartography -- computer science, ACM: G.: Mathematics of Computing, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies, ACM: H.: Information Systems, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models

Geografické téma: Vitebsk, Belarus

Relation: hal-02425703; https://hal.archives-ouvertes.fr/hal-02425703

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425703
https://doi.org/10.13140/RG.2.2.14649.52320

Assessing and Monitoring Geoecological Status of West Turkish Landscapes for Sustainable Development: Processes, Activities and Problems

Autoři: Lemenkova, Polina Ocean University of China (OUC) Francisk Skorina Gomel State University

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Francisk Skorina Gomel State University

Zdroj: Geographic Aspects of the Sustainable Development of Regions ; https://hal.archives-ouvertes.fr/hal-02425713 ; Geographic Aspects of the Sustainable Development of Regions, Francisk Skorina Gomel State University, Apr 2015, Gomel, Belarus. pp.33, ⟨10.13140/RG.2.2.13386.31687⟩

Témata: Geography, Enviromnemt, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, [INFO]Computer Science [cs], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [SDE]Environmental Sciences, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment

Geografické téma: Gomel, Belarus

Relation: hal-02425713; https://hal.archives-ouvertes.fr/hal-02425713

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425713
https://doi.org/10.13140/RG.2.2.13386.31687

Google Earth web service as a support for GIS mapping in geospatial research at universities

Autoři: Lemenkova, Polina Ocean University of China (OUC) Arzamas branch of the N. I. Lobachevsky State University of Nizhny Novgorod

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Arzamas branch of the N. I. Lobachevsky State University of Nizhny Novgorod

Zdroj: Web-Technologies in the Educational Space. Problems, Approaches, Perspectives ; https://hal.archives-ouvertes.fr/hal-02425718 ; Web-Technologies in the Educational Space. Problems, Approaches, Perspectives, Arzamas branch of the N. I. Lobachevsky State University of Nizhny Novgorod, Mar 2015, Arzamas, Russia. pp.24, ⟨10.13140/RG.2.2.11543.11686⟩

Témata: Image processing, Environment, Environment & Development, Environment Effect, Geography, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: H.: Information Systems, [INFO]Computer Science [cs], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]

Geografické téma: Arzamas, Russia

Relation: hal-02425718; https://hal.archives-ouvertes.fr/hal-02425718

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425718
https://doi.org/10.13140/RG.2.2.11543.11686

Innovations in the Geoscience Research: Classification of the Landsat TM Image Using ILWIS GIS for Geographic Studies

Autoři: Lemenkova, Polina Ocean University of China (OUC) Grodno State Agrarian University (GGAU)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Grodno State Agrarian University (GGAU)

Zdroj: Prospects for the Higher School Development ; https://hal.archives-ouvertes.fr/hal-02425708 ; Prospects for the Higher School Development, Grodno State Agrarian University (GGAU), May 2015, Grodno, Belarus. ⟨10.13140/RG.2.2.27376.61446⟩

Témata: Image processing, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, [SDE]Environmental Sciences, [SDE.ES]Environmental Sciences/Environmental and Society, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering

Geografické téma: Grodno, Belarus

Relation: hal-02425708; https://hal.archives-ouvertes.fr/hal-02425708

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425708
https://doi.org/10.13140/RG.2.2.27376.61446

Mapping agricultural land by means of GIS for monitoring the use of natural resources (a case study of landscapes of South-Western Hungary)

Autoři: Lemenkova, Polina Ocean University of China (OUC) Ural State Agrarian University

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Ural State Agrarian University

Zdroj: Actual Problems of the Conservation and Development of Biological Resources ; https://hal.archives-ouvertes.fr/hal-02425724 ; Actual Problems of the Conservation and Development of Biological Resources, Ural State Agrarian University, Feb 2015, Yekaterinburg, Russia. pp.27, ⟨10.13140/RG.2.2.34031.79522⟩

Témata: Geography, Geography & Development, Geography and cartography, Geography and spaces, Image processing Digital image processing, Image processing Image recognition, Image processing Image reconstruction techniques, Image processing Pattern recognition, Image processing application, Image processing segmentation, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, [INFO]Computer Science [cs]

Geografické téma: Yekaterinburg, Russia

Relation: hal-02425724; https://hal.archives-ouvertes.fr/hal-02425724

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425724
https://doi.org/10.13140/RG.2.2.34031.79522

Spatial Analysis for the Environmental Mapping of the Šumava National Park

Autoři: Lemenkova, Polina Ocean University of China (OUC) Charles University in Prague, Institute for Environmental Studies

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Charles University in Prague, Institute for Environmental Studies

Zdroj: 6th Annual PGS Conference
https://hal.archives-ouvertes.fr/hal-02447144
6th Annual PGS Conference, Charles University in Prague, Institute for Environmental Studies, Jan 2015, Prague, Czech Republic. pp.40, ⟨10.13140/RG.2.2.29132.97922⟩

Témata: Image Processing Computer-Assisted, Remote Sensing Image, Remote Sensing Image Classification, Remote Sensing Data, Remote Sensing, Image Processing and Forming, Image Processing and Computer Vision, Image Processing Frameworks, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [STAT]Statistics [stat], [SDE]Environmental Sciences, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SDE.BE]Environmental Sciences/Biodiversity and Ecology

Geografické téma: Prague, Czech Republic

Relation: hal-02447144; https://hal.archives-ouvertes.fr/hal-02447144

Dostupnost: https://hal.archives-ouvertes.fr/hal-02447144
https://doi.org/10.13140/RG.2.2.29132.97922

Modelling Landscape Changes and Detecting Land Cover Types by Means of the Remote Sensing Data and ILWIS GIS

Autoři: Lemenkova, Polina Ocean University of China (OUC) Ufa State Petroleum Technological University

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Ufa State Petroleum Technological University

Zdroj: 3rd International Conference.Information Technologies. Problems and Solutions
https://hal.archives-ouvertes.fr/hal-02447219
3rd International Conference.Information Technologies. Problems and Solutions, Ufa State Petroleum Technological University, May 2015, Ufa, Russia. pp.25, ⟨10.13140/RG.2.2.23103.66726⟩

Témata: Image processing, Image processing Image recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SHS.EDU]Humanities and Social Sciences/Education, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [SHS.GEO]Humanities and Social Sciences/Geography, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDE]Environmental Sciences, [SDE.IE]Environmental Sciences/Environmental Engineering

Geografické téma: Ufa, Russia

Relation: hal-02447219; https://hal.archives-ouvertes.fr/hal-02447219

Dostupnost: https://hal.archives-ouvertes.fr/hal-02447219
https://doi.org/10.13140/RG.2.2.23103.66726

Cost-Effective Raster Image Processing for Geoecological Analysis using ISOCLUST Classifier: a Case Study of Estonian Landscapes

Autoři: Lemenkova, Polina Ocean University of China (OUC) Belarus State University (BSU)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Belarus State University (BSU)

Zdroj: Modern Problems of Geoecology & Landscapes Studies ; https://hal.archives-ouvertes.fr/cel-01991241 ; Modern Problems of Geoecology & Landscapes Studies, Belarus State University (BSU), Oct 2014, Minsk, Belarus. pp.19, ⟨10.13140/RG.2.2.10024.62722⟩ ; https://geo.bsu.by/index.php/nauka/konferentsii/370-sovremennye-problemy-landshaftovedeniya-i-geoekologii.html

Témata: Image classification, Landsat 7 ETM+, Landsat Imagery, Satellite image interpretation, Satellite image analysis, Geospatial Information System, Geospatial data, Geospatial clustering, Geospatial analysis, Land cover and land use changes, Land cover change modeling, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.4: COMPUTERS AND SOCIETY, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: K.: Computing Milieux/K.4: COMPUTERS AND SOCIETY/K.4.2: Social Issues, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, [SDE]Environmental Sciences, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]

Geografické téma: Minsk, Belarus

Relation: cel-01991241; https://hal.archives-ouvertes.fr/cel-01991241; https://hal.archives-ouvertes.fr/cel-01991241/document; https://hal.archives-ouvertes.fr/cel-01991241/file/Presentation_ISOCLUST.pdf

Dostupnost: https://hal.archives-ouvertes.fr/cel-01991241
https://hal.archives-ouvertes.fr/cel-01991241/document
https://hal.archives-ouvertes.fr/cel-01991241/file/Presentation_ISOCLUST.pdf
https://doi.org/10.13140/RG.2.2.10024.62722

Measuring Regional Difference in Urban Growth of Taipei City (Taiwan, China) by Means of ENVI GIS and Remote Sensing Data

Autoři: Lemenkova, Polina Ocean University of China (OUC) CzechGlobe Research Institute Czech Academy of Science (Ústav výzkumu globální změny AV ČR, v. v. i.)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) CzechGlobe Research Institute Czech Academy of Science (Ústav výzkumu globální změny AV ČR, v. v. i.)

Zdroj: CzechGlobe Post Graduate Students (PGS) Conference ; https://hal.archives-ouvertes.fr/cel-01991208 ; CzechGlobe Post Graduate Students (PGS) Conference, CzechGlobe Research Institute Czech Academy of Science (Ústav výzkumu globální změny AV ČR, v. v. i.), Feb 2014, Brno, Czech Republic. pp.50, ⟨10.13140/RG.2.2.12140.62082⟩

Témata: Image classification, Land cover and land use changes, Land cover and land use, Landsat Imagery, Satellite image interpretation, Satellite image analysis, Image processing Pattern recognition, Image processing Digital image processing, China economic strategy, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SHS.GEO]Humanities and Social Sciences/Geography, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, [SHS.EDU]Humanities and Social Sciences/Education, [SHS.ARCHI]Humanities and Social Sciences/Architecture, space management, [INFO.INFO-CE]Computer Science [cs]/Computational Engineering, Finance

Geografické téma: Brno, Czech Republic

Relation: cel-01991208; https://hal.archives-ouvertes.fr/cel-01991208; https://hal.archives-ouvertes.fr/cel-01991208/document; https://hal.archives-ouvertes.fr/cel-01991208/file/Lemenkova_Present-Brno2014.pdf

Dostupnost: https://hal.archives-ouvertes.fr/cel-01991208
https://hal.archives-ouvertes.fr/cel-01991208/document
https://hal.archives-ouvertes.fr/cel-01991208/file/Lemenkova_Present-Brno2014.pdf
https://doi.org/10.13140/RG.2.2.12140.62082

Spatial analysis for the assessment of the environmental changes in the landscapes of Izmir surroundings

Autoři: Lemenkova, Polina Ocean University of China (OUC)

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC)

Zdroj: 10th International Conference on Environmental, Cultural, Economic and Social Sustainability
https://hal.archives-ouvertes.fr/hal-02425753
10th International Conference on Environmental, Cultural, Economic and Social Sustainability, Jan 2014, Split, Croatia. ⟨10.13140/RG.2.2.22228.76160⟩

Témata: Image processing Digital image processing, Image processing Image recognition, Image processing Pattern recognition, Image processing -- Digital techniques, Image processing algorithm, Image processing application, Image processing and computer vision, Image processing and analysis, Image processing methods, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.4: Restoration, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), [INFO]Computer Science [cs]

Geografické téma: Split, Croatia

Relation: hal-02425753; https://hal.archives-ouvertes.fr/hal-02425753

Dostupnost: https://hal.archives-ouvertes.fr/hal-02425753
https://doi.org/10.13140/RG.2.2.22228.76160