Výsledky vyhledávání - ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering

R Libraries {dendextend} and {magrittr} and Clustering Package scipy.cluster of Python For Modelling Diagrams of Dendrogram Trees

Autoři: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), State Oceanic Administration, Marine Scholarship of China, Grant Nr. 2016SOA002, China.

Zdroj: Carpathian Journal of Electronic and Computer Engineering ; https://hal.archives-ouvertes.fr/hal-02910881 ; Carpathian Journal of Electronic and Computer Engineering, 2020, 13 (1), pp.5 - 12. ⟨10.2478/cjece-2020-0002⟩

Témata: clustering, data analysis, data sorting, data ranking, dendrogram, Python, machine learning, programming language, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, 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.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Relation: hal-02910881; https://hal.archives-ouvertes.fr/hal-02910881; https://hal.archives-ouvertes.fr/hal-02910881/document; https://hal.archives-ouvertes.fr/hal-02910881/file/02-cjece-2020-0001.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02910881
https://hal.archives-ouvertes.fr/hal-02910881/document
https://hal.archives-ouvertes.fr/hal-02910881/file/02-cjece-2020-0001.pdf
https://doi.org/10.2478/cjece-2020-0002

R Libraries for Remote Sensing Data Classification by k-means Clustering and NDVI Computation in Congo River Basin, DRC

Autoři: Lemenkova, Polina Debeir, Olivier Ecole Polytechnique de Bruxelles a další

Přispěvatelé: Lemenkova, Polina Debeir, Olivier Ecole Polytechnique de Bruxelles a další

Zdroj: ISSN: 2076-3417.

Témata: Image analyis, image processing, remote sensing, Landsat, R language, programming, cartography, mapping, data visualization, NDVI, Africa, Congo, Rainforest, Land cover change, Computer science, Engineering, Forest, Sub-saharan Africa, Algorithm, Data Analysis, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, 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, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, 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.4.7: Feature Measurement

Relation: hal-03894159; https://hal.science/hal-03894159; https://hal.science/hal-03894159/document; https://hal.science/hal-03894159/file/applsci-12-12554-v2.pdf

Dostupnost: https://hal.science/hal-03894159
https://hal.science/hal-03894159/document
https://hal.science/hal-03894159/file/applsci-12-12554-v2.pdf
https://doi.org/10.3390/app122412554

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 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

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

Insights on the Indian Ocean tectonics and geophysics supported by GMT

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: ISSN: 1584-5273 ; Riscuri si Catastrofe ; https://hal.archives-ouvertes.fr/hal-03033533 ; Riscuri si Catastrofe, "Babes-Bolyai" University from Cluj-Napoca, Faculty of Geography, 2020, 27 (2), pp.67-83. ⟨10.24193/RCJ2020_12⟩ ; http://riscurisicatastrofe.reviste.ubbcluj.ro/.

Témata: Indian Ocean, geomorphology, seafloor, geophysics, topography, GMT, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.2: Text processing, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, 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, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, 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.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [INFO]Computer Science [cs], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces

Relation: hal-03033533; https://hal.archives-ouvertes.fr/hal-03033533; https://hal.archives-ouvertes.fr/hal-03033533/document; https://hal.archives-ouvertes.fr/hal-03033533/file/04_Lemenkova_67_83.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03033533
https://hal.archives-ouvertes.fr/hal-03033533/document
https://hal.archives-ouvertes.fr/hal-03033533/file/04_Lemenkova_67_83.pdf
https://doi.org/10.24193/RCJ2020_12

Risks of cryogenic landslide hazards and their impact on ecosystems in cold environments

Autoři: Lemenkova, Polina Ocean University of China (OUC) Finnish Center for International Mobility (CIMO), Finland. Grant reference: TM-10-7124.

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) Finnish Center for International Mobility (CIMO), Finland. Grant reference: TM-10-7124.

Zdroj: The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014 ; https://hal.archives-ouvertes.fr/hal-01972867 ; The Effects of Irrigation and Drainage on Rural and Urban Landscapes IRLA2014, Nov 2014, Patras, Greece. 2014, ⟨10.6084/m9.figshare.7435193.v1⟩

Témata: Image processing, Digital image analysis, Satellite image analysis, Satellite image interpretation, Landsat TM and ETM images, Landsat Imagery, Land cover and land use, Landscape Analysis, Land cover and land use changes, GIS & Spatial Analyses, GIS Data Modelling, Cartograhie, 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/I.4.1.1: Imaging geometry, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.6: Scanning, 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/I.5.1: Models, 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.5.3.1: Similarity measures, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, 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.4.6: 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, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Geografické téma: Patras, Greece

Relation: hal-01972867; https://hal.archives-ouvertes.fr/hal-01972867; https://hal.archives-ouvertes.fr/hal-01972867/document; https://hal.archives-ouvertes.fr/hal-01972867/file/Lemenkova_IRLA2014_Poster.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-01972867
https://hal.archives-ouvertes.fr/hal-01972867/document
https://hal.archives-ouvertes.fr/hal-01972867/file/Lemenkova_IRLA2014_Poster.pdf
https://doi.org/10.6084/m9.figshare.7435193.v1

Sentinel-2 for High Resolution Mapping of Slope-Based Vegetation Indices Using Machine Learning by SAGA GIS

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

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

Zdroj: Transylvanian Review of Systematical and Ecological Research ; https://hal.archives-ouvertes.fr/hal-03041269 ; Transylvanian Review of Systematical and Ecological Research, 2020, 22 (3), pp.17-34. ⟨10.2478/trser-2020-0015⟩

Témata: Sentinel-2, SAGA GIS, Cameroon, remote sensing, vegetation, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, 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, 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.4.7: 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, [SDE]Environmental Sciences, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDV.BID]Life Sciences [q-bio]/Biodiversity, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems

Relation: hal-03041269; https://hal.archives-ouvertes.fr/hal-03041269; https://hal.archives-ouvertes.fr/hal-03041269/document; https://hal.archives-ouvertes.fr/hal-03041269/file/TRSER%2022.3%20%2817-34%29.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03041269
https://hal.archives-ouvertes.fr/hal-03041269/document
https://hal.archives-ouvertes.fr/hal-03041269/file/TRSER%2022.3%20%2817-34%29.pdf
https://doi.org/10.2478/trser-2020-0015

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

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) a další

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

Zdroj: 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

Témata: 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

Geografické téma: 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

Dostupnost: 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

Monitoring changes in agricultural landscapes of Central Europe, Hungary: application of ILWIS GIS for image processing

Autoři: Lemenkova, Polina Ocean University of China (OUC) National Academy of Sciences of Ukraine

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) National Academy of Sciences of Ukraine

Zdroj: XII th International Conference on Geoinformatics - Theoretical and Applied Aspects ; https://hal.archives-ouvertes.fr/hal-02021978 ; XII th International Conference on Geoinformatics - Theoretical and Applied Aspects, National Academy of Sciences of Ukraine, May 2013, Kiev, Ukraine. ⟨10.6084/m9.figshare.7434197.v1⟩

Témata: Remote Sensing Image Classification, GIS Climat Environnement Société, Image processing Digital image processing, Image processing Image recognition, Image processing Pattern recognition, Image processing Methods statistical, Image processing -- Digital techniques, GIS & Spatial Analyses, GIS Analysis, GIS Geographic Information System, 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.4.8: 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.4.8: 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, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDE]Environmental Sciences, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, [INFO]Computer Science [cs], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.ES]Environmental Sciences/Environmental and Society

Geografické téma: Kiev, Ukraine

Relation: hal-02021978; https://hal.archives-ouvertes.fr/hal-02021978; https://hal.archives-ouvertes.fr/hal-02021978/document; https://hal.archives-ouvertes.fr/hal-02021978/file/Lemenkova_Geoinformatics_Kiev2013.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02021978
https://hal.archives-ouvertes.fr/hal-02021978/document
https://hal.archives-ouvertes.fr/hal-02021978/file/Lemenkova_Geoinformatics_Kiev2013.pdf
https://doi.org/10.6084/m9.figshare.7434197.v1

MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

Autoři: Müller, Philipp Balazia, Michal Baur, Tobias a další

Přispěvatelé: Müller, Philipp Balazia, Michal Baur, Tobias a další

Zdroj: MM 2023 - The 31st ACM International Conference on Multimedia ; https://hal.science/hal-04330332 ; MM 2023 - The 31st ACM International Conference on Multimedia, ACM, Oct 2023, Ottawa, Canada. pp.9640-9645, ⟨10.1145/3581783.3613851⟩

Témata: challenge, dataset, engagement, nonverbal behaviour, Computing methodologies, Artificial intelligence, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geografické téma: Ottawa

Time: Ottawa, Canada

Dostupnost: https://hal.science/hal-04330332
https://hal.science/hal-04330332v1/document
https://hal.science/hal-04330332v1/file/2023_ACMMM.pdf
https://doi.org/10.1145/3581783.3613851

Geomorphology of the Puerto Rico Trench and Cayman Trough in the Context of the Geological Evolution of the Caribbean Sea ; Geomorfologia Rowu Puerto Rico i Rowu Kajmańskiego w kontekście ewolucji geologicznej Morza Karaibskiego

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

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

Zdroj: ISSN: 0137-1983 ; Annales Universitatis Mariae Curie-Sklodowska, sectio B – Geographia, Geologia, Mineralogia et Petrographia ; https://hal.archives-ouvertes.fr/hal-03022505 ; Annales Universitatis Mariae Curie-Sklodowska, sectio B – Geographia, Geologia, Mineralogia et Petrographia, 2020, 75, pp.115-141. ⟨10.17951/b.2020.75.115-141⟩ ; https://journals.umcs.pl/b/article/view/11219.

Témata: Earth gravitational model, gravity anomalies, GMT, Cayman Trough, Puerto Rico Trench, Caribbean Sea, ACM: H.: Information Systems, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, ACM: I.: Computing Methodologies, ACM: K.: Computing Milieux, 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, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [SDE]Environmental Sciences, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDU]Sciences of the Universe [physics], [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences

Relation: hal-03022505; https://hal.archives-ouvertes.fr/hal-03022505; https://hal.archives-ouvertes.fr/hal-03022505/document; https://hal.archives-ouvertes.fr/hal-03022505/file/11219-46002-1-PB.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03022505
https://hal.archives-ouvertes.fr/hal-03022505/document
https://hal.archives-ouvertes.fr/hal-03022505/file/11219-46002-1-PB.pdf
https://doi.org/10.17951/b.2020.75.115-141

Evolutionary classifier and cluster selection approach for ensemble classification

Autoři: Jan, Muhammad Zohaib Verma, Brijesh

Zdroj: Jan, MZ, Verma, B, (2019). Evolutionary classifier and cluster selection approach for ensemble classification. ACM Transactions on Knowledge Discovery from Data, Vol. 14, No. 1, p. 7:1-7:18 http://dx.doi.org/10.1145/3366633

Témata: CCS concepts, Computing methodologies, Ensemble methods, Multiple classifier systems, Clustering, Particle swarm optimization, 080108 Neural, Evolutionary and Fuzzy Computation, 080109 Pattern Recognition and Data Mining

Relation: ACM Transactions on Knowledge Discovery from Data, 2019, Vol. 14, No. 1, p. 7:1-7:18; http://hdl.cqu.edu.au/10018/1322511; cqu:19599; http://dx.doi.org/10.1145/3366633; eISSN:1556-472X

Dostupnost: http://hdl.cqu.edu.au/10018/1322511
https://doi.org/10.1145/3366633

Submarine tectonic geomorphology of the Pliny and Hellenic Trenches reflecting geologic evolution of the southern Greece ; Podmorska tektonska geomorfologija Plinijskoga i Helenskoga jarka kao odraz geološke evolucije južne Grčke

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: ISSN: 0353-4529 ; Rudarsko Geolosko Naftni Zbornik (The Mining-Geology-Petroleum Engineering Bulletin) ; https://hal.archives-ouvertes.fr/hal-03349895 ; Rudarsko Geolosko Naftni Zbornik (The Mining-Geology-Petroleum Engineering Bulletin), University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2021, 36 (4), pp.33-48. ⟨10.17794/rgn.2021.4.4⟩ ; 10.17794/rgn.2021.4.4.

Témata: geophysics, generic mapping tools, Hellenic Trench, cartography, geology, ACM: H.: Information Systems, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics

Relation: hal-03349895; https://hal.archives-ouvertes.fr/hal-03349895; https://hal.archives-ouvertes.fr/hal-03349895/document; https://hal.archives-ouvertes.fr/hal-03349895/file/16999-Article%20Text-68225-1-10-20210920.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03349895
https://hal.archives-ouvertes.fr/hal-03349895/document
https://hal.archives-ouvertes.fr/hal-03349895/file/16999-Article%20Text-68225-1-10-20210920.pdf
https://doi.org/10.17794/rgn.2021.4.4

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

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

Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium

Autoři: Lemenkova, Polina Plaen, Raphaël Lecocq, Thomas a další

Přispěvatelé: Lemenkova, Polina Plaen, Raphaël Lecocq, Thomas a další

Zdroj: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03909569 ; Sensors, 2022, 23 (1), pp.56. ⟨10.3390/s23010056⟩ ; https://www.mdpi.com/1424-8220/23/1/56.

Témata: Computer science, seismology, Galitzine seismometer, horizontal component, analogue seismogram, digitising, earthquake recording, ground motions, historical seismograms, seismic waves, Signal processing, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, 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.4.6: Segmentation, 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, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [PHYS]Physics [physics], [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]

Relation: hal-03909569; https://hal.archives-ouvertes.fr/hal-03909569; https://hal.archives-ouvertes.fr/hal-03909569/document; https://hal.archives-ouvertes.fr/hal-03909569/file/sensors-23-00056.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03909569
https://hal.archives-ouvertes.fr/hal-03909569/document
https://hal.archives-ouvertes.fr/hal-03909569/file/sensors-23-00056.pdf
https://doi.org/10.3390/s23010056

Topographic surface modelling using raster grid datasets by GMT: example of the Kuril–Kamchatka Trench, Pacific Ocean

Autoři: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, People’s Republic of China

Přispěvatelé: Lemenkova, Polina Ocean University of China (OUC) China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, People’s Republic of China

Zdroj: Reports on Geodesy and Geoinformatics ; https://hal.archives-ouvertes.fr/hal-02351014 ; Reports on Geodesy and Geoinformatics, 2019, 108 (1), pp.9-22. ⟨10.2478/rgg-2019-0008⟩ ; https://content.sciendo.com/view/journals/rgg/108/1/article-p9.xml

Témata: Geography, Generic Mapping Tools, GMT, cartography, Kuril-Kamchatka Trench, Raster Grid Modelling, mapping, data analysis, Data modelling, Geoid, Gravity, Bathymetry, Topography, Topography 3D, Spatial analysis, GIS, GIS & Spatial Analyses, Data processing Computer science, Data visualization, Shell scripts, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDE]Environmental Sciences, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: hal-02351014; https://hal.archives-ouvertes.fr/hal-02351014; https://hal.archives-ouvertes.fr/hal-02351014/document; https://hal.archives-ouvertes.fr/hal-02351014/file/rgg-2019-0008.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-02351014
https://hal.archives-ouvertes.fr/hal-02351014/document
https://hal.archives-ouvertes.fr/hal-02351014/file/rgg-2019-0008.pdf
https://doi.org/10.2478/rgg-2019-0008

Mapping agricultural lands by means of GIS for monitoring use of natural resources ; Картографирование сельскохозяйственных угодий средствами ГИС для мониторинга использования природных ресурсов ; Agricultural lands mapping by means of GIS for monitoring use of natural resources; Mapping of agricultural lands by means of GIS to monitor the use of natural resources

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

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

Zdroj: Actual Problems of the Conservation and Development of the Biological Resources ; https://hal.archives-ouvertes.fr/hal-02017855 ; Actual Problems of the Conservation and Development of the Biological Resources, Ural State Agrarian University (UrGAU), Feb 2015, Yekaterinburg, Russia. pp.226-229, ⟨10.6084/m9.figshare.7211804⟩

Témata: Environmental Assessment, Environmental Change, Environmental Geology, Environmental monitoring and policies, Image processing Digital image processing, Image processing Pattern recognition, Image processing Image recognition, Landsat TM, Landsat TM and ETM images, Landsat TM and ETM data, Landsat TM 5 TIR, Satellite image analysis, Satellite image interpretation, Satellite image time series, 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/I.4.3.1: Geometric correction, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.2: Grayscale manipulation, 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.4.3.5: Smoothing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.4: Sharpening and deblurring, 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.4.8: 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.4.0: General, 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.4.8.7: Shading

Geografické téma: Yekaterinburg, Russia

Relation: https://hal.archives-ouvertes.fr/hal-02017855/file/Lemenkova_Yekat_paper02_2015.pdf; https://hal.archives-ouvertes.fr/hal-02017855

Dostupnost: https://hal.archives-ouvertes.fr/hal-02017855/file/Lemenkova_Yekat_paper02_2015.pdf
https://hal.archives-ouvertes.fr/hal-02017855