Search Results - 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

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

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

Source: 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.

Subject Terms: 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

Availability: 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

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

Authors: Jourlin, Michel Noyel, Guillaume Laboratoire Hubert Curien (LabHC) et al.

Contributors: Jourlin, Michel Noyel, Guillaume Laboratoire Hubert Curien (LabHC) et al.

Source: 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/

Subject Terms: 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

Subject Geographic: Ile d'Oléron, France

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

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

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

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

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

Source: 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⟩

Subject Terms: 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

Availability: 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

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

Authors: Noyel, Guillaume Jourlin, Michel International Prevention Research Institute (IPRI) et al.

Contributors: Noyel, Guillaume Jourlin, Michel International Prevention Research Institute (IPRI) et al.

Source: 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/

Subject Terms: 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]

Subject Geographic: Québec City

Time: Québec City, Canada

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

Availability: 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

Contrast enhancement of eye fundus images

Authors: Noyel, Guillaume Jourlin, Michel Thomas, Rebecca et al.

Contributors: Noyel, Guillaume Jourlin, Michel Thomas, Rebecca et al.

Source: 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

Subject Terms: 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]

Subject Geographic: 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

Availability: 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

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

Authors: Lemenkova, Polina Ocean University of China (OUC) Belarus State University (BSU) et al.

Contributors: Lemenkova, Polina Ocean University of China (OUC) Belarus State University (BSU) et al.

Source: Proceedings of 5th International Research Conference, Belarus State University (BSU) ; Modern Problems of Geoecology and Landscapes Studies ; https://hal.archives-ouvertes.fr/hal-02000858 ; Modern Problems of Geoecology and Landscapes Studies, Belarus State University (BSU), Oct 2014, Minsk, Belarus. pp.74-76, ⟨10.6084/m9.figshare.7211870⟩ ; https://geo.bsu.by/index.php/nauka/konferentsii/370-sovremennye-problemy-landshaftovedeniya-i-geoekologii.html

Subject Terms: GIS Climat Environnement Société, GIS & Spatial Analyses, Remote sensing and GIS, Image processing Pattern recognition, Raster images, Clustering Analysis, Clustering Algorithms, Clustering, Clustering Algorithm, GIS Data Modelling, Landsat Imagery, Landsat 7 ETM+, Landsat ETM+, Image processing, Image processing Digital image processing, SIG Systèmes d'information géographique, SIG et modélisation spatiale, 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.4.3: 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.4.3.3: Registration, 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.4.3.5: 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.4.6.0: Edge and feature detection, 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.4.8: Scene Analysis

Subject Geographic: Minsk, Belarus

Relation: hal-02000858; https://hal.archives-ouvertes.fr/hal-02000858; https://hal.archives-ouvertes.fr/hal-02000858/document; https://hal.archives-ouvertes.fr/hal-02000858/file/Lemenkova_Minsk2014.pdf

Availability: https://hal.archives-ouvertes.fr/hal-02000858
https://hal.archives-ouvertes.fr/hal-02000858/document
https://hal.archives-ouvertes.fr/hal-02000858/file/Lemenkova_Minsk2014.pdf
https://doi.org/10.6084/m9.figshare.7211870

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

Authors: Lemenkova, Polina Ocean University of China (OUC) South West State University (YuZGU) et al.

Contributors: Lemenkova, Polina Ocean University of China (OUC) South West State University (YuZGU) et al.

Source: 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

Subject Terms: 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

Subject Geographic: 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

Availability: 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

Image Processing and Analysis of Change Detection in the Land Cover Types of the Sudetes by Idrisi GIS

Authors: Lemenkova, Polina Ocean University of China (OUC) University of Warsaw

Contributors: Lemenkova, Polina Ocean University of China (OUC) University of Warsaw

Source: Environmental Management and Policy in Central Europe ; https://hal.archives-ouvertes.fr/hal-02447002 ; Environmental Management and Policy in Central Europe, University of Warsaw, Jul 2010, Warsaw, Poland. pp.23, ⟨10.13140/RG.2.2.10140.64640⟩

Subject Terms: GIS, Geoinformatics, Geoinformation, Geography, Cartography analysis, Cartographic analysis, 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.4.6: 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), 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.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO]Computer Science [cs], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]

Subject Geographic: Warsaw, Poland

Relation: hal-02447002; https://hal.archives-ouvertes.fr/hal-02447002

Availability: https://hal.archives-ouvertes.fr/hal-02447002
https://doi.org/10.13140/RG.2.2.10140.64640

Satellite Image Based Mapping of Wetland Tundra Landscapes Using ILWIS GIS

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

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

Source: Actual Problems of the State and Management of Water Resources ; https://hal.archives-ouvertes.fr/hal-02447111 ; Actual Problems of the State and Management of Water Resources, Volga State University of Technology, Mar 2015, Yoshkar-Ola, Russia. pp.22

Subject Terms: Remote Sensing monitoring, Remote Sensing and Geomatics, Image Processing, Image Processing Computer-Assisted, Image Processing and Computer Vision, Image Processing and Forming, Remote Sensing, Remote Sensing Data, Remote Sensing Image, Remote Sensing Image Classification, ACM: H.: Information Systems, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, 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.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, 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, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.MCG]Environmental Sciences/Global Changes, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering

Subject Geographic: Yoshkar-Ola, Russia

Relation: hal-02447111; https://hal.archives-ouvertes.fr/hal-02447111

Availability: https://hal.archives-ouvertes.fr/hal-02447111

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

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

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

Source: 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⟩

Subject Terms: 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

Subject Geographic: Vitebsk, Belarus

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

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

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

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

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

Source: 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⟩

Subject Terms: 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

Subject Geographic: 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

Availability: 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

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

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

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

Source: 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⟩

Subject Terms: 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

Subject Geographic: Grodno, Belarus

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

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

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

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

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

Source: 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⟩

Subject Terms: 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]

Subject Geographic: Arzamas, Russia

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

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

Analysis of Landsat NDVI time series for detecting degradation of vegetation

Authors: Lemenkova, Polina Ocean University of China (OUC) Belgorod State University’ (BelSU) et al.

Contributors: Lemenkova, Polina Ocean University of China (OUC) Belgorod State University’ (BelSU) et al.

Source: 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

Subject Terms: 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]

Subject Geographic: 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

Availability: 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

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

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

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

Source: 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⟩

Subject Terms: 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

Subject Geographic: Gomel, Belarus

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

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

Spatial Analysis for the Environmental Mapping of the Šumava National Park

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

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

Source: 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⟩

Subject Terms: 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

Subject Geographic: Prague, Czech Republic

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

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

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

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

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

Source: 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⟩

Subject Terms: 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]

Subject Geographic: Yekaterinburg, Russia

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

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

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

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

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

Source: 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⟩

Subject Terms: 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

Subject Geographic: Ufa, Russia

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

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

Forest Monitoring Using Remote Sensing Data and ILWIS GIS

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

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

Source: 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

Subject Terms: 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

Subject Geographic: 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

Availability: 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

Estimation des dérivées d'un signal multidimensionnel avec applications aux images et aux vidéos

Authors: Fliess, Michel Join, Cédric Mboup, Mamadou et al.

Contributors: Fliess, Michel Join, Cédric Mboup, Mamadou et al.

Source: Actes du 20 colloque du Groupement de Recherche En Traitement du SIgnal ; XXème Colloque francophone de traitement du signal et des images, GRETSI ; https://inria.hal.science/inria-00001116 ; XXème Colloque francophone de traitement du signal et des images, GRETSI, Sep 2005, Louvain-la-Neuve, Belgique. pp.136-139

Subject Terms: Image processing, noise removal, edge detection, 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.4.10: Image Representation, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [MATH.MATH-RA]Mathematics [math]/Rings and Algebras [math.RA]

Subject Geographic: Louvain-la-Neuve, Belgium

Availability: https://inria.hal.science/inria-00001116
https://inria.hal.science/inria-00001116v1/document
https://inria.hal.science/inria-00001116v1/file/Gretsi05_Image.pdf