Search Results - "ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation*"

A study on loss functions and decision thresholds for the segmentation of multiple sclerosis lesions on spinal cord MRI

Authors: Hussein, Burhan Rashid Meurée, Cédric Gaubert, Malo et al.

Contributors: Hussein, Burhan Rashid Meurée, Cédric Gaubert, Malo et al.

Source: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023)
https://hal.science/hal-03865212
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Apr 2023, Cartagena (Colombia), Colombia

Subject Terms: segmentation, multiple sclerosis, medical imaging, decision threshold, loss function, spinal cord, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Subject Geographic: Cartagena (Colombia), Colombia

Availability: https://hal.science/hal-03865212
https://hal.science/hal-03865212v3/document
https://hal.science/hal-03865212v3/file/ISBI_Primus_10052023.pdf

Extracting Microseismic Ground Motion From Legacy Seismograms

Authors: de Plaen, Raphael S. M. Lecocq, Thomas Lemenkova, Polina et al.

Contributors: de Plaen, Raphael S. M. Lecocq, Thomas Lemenkova, Polina et al.

Source: 3rd EUROPEAN CONFERENCE ON EARTHQUAKE ENGINEERING & SEISMOLOGY
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES
https://hal.archives-ouvertes.fr/hal-03774028
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES, European Seismological Commission, Sep 2022, Bucharest, Romania. pp.3507-3513, ⟨10.5281/zenodo.7064711⟩
https://3ecees.ro/

Subject Terms: analog seismograms, seismic noise, oceanic storms, digitalization, machine learning, oceanic climate, ACM: K.: Computing Milieux, ACM: I.: Computing Methodologies, 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.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.5.4: Applications, 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.4.5: 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.4.6: 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.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean

Subject Geographic: Bucharest, Romania

Relation: hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028/document; https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03774028
https://hal.archives-ouvertes.fr/hal-03774028/document
https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf
https://doi.org/10.5281/zenodo.7064711

Tau Protein Discrete Aggregates in Alzheimer's Disease: Neuritic Plaques and Tangles Detection and Segmentation using Computational Histopathology ; Agrégats discrets de protéine Tau dans la maladie d'Alzheimer : détection et segmentation des plaques neuritiques et des enchevêtrements neurofibrillaires à l'aide de l'histopathologie computationnelle

Authors: Maňoušková, Kristyna Abadie, Valentin Ounissi, Mehdi et al.

Contributors: Maňoušková, Kristyna Abadie, Valentin Ounissi, Mehdi et al.

Source: SPIE Medical Imaging 2022 ; https://hal.science/hal-03522378 ; SPIE Medical Imaging 2022, Feb 2022, San Diego, United States

Subject Terms: Computational Pathology, Deep Learning, Segmentation, Tangles, Neuritic Plaques, Tau Proteins, Whole Slide Images, Alzheimer's Disease, Detection, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.7: Shape, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding/I.2.10.8: Texture, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.1: Intelligent agents, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Subject Geographic: San Diego, United States

Availability: https://hal.science/hal-03522378
https://hal.science/hal-03522378v2/document
https://hal.science/hal-03522378v2/file/manouskova2022spie_mi.pdf

Morphological adjunctions represented by matrices in max-plus algebra for signal and image processing

Authors: Blusseau, Samy Velasco-Forero, Santiago Angulo, Jesus et al.

Contributors: Blusseau, Samy Velasco-Forero, Santiago Angulo, Jesus et al.

Source: DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology ; https://hal.science/hal-03738665 ; DGMM 2022, IAPR Second International Conference on Discrete Geometry and Mathematical Morphology, Oct 2022, Strasbourg, France

Subject Terms: Graph theory, Max-plus algebra, Morphological operators, 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.4.10: Image Representation/I.4.10.1: Morphological, 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.4.6: Segmentation/I.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.1: Invariants, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.3: Projections, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.2: Geometric, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT], [MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA], [MATH.MATH-SP]Mathematics [math]/Spectral Theory [math.SP]

Subject Geographic: Strasbourg, France

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2207.13926; ARXIV: 2207.13926

Availability: https://hal.science/hal-03738665
https://hal.science/hal-03738665v2/document
https://hal.science/hal-03738665v2/file/max_plus.pdf

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

Authors: Lemenkova, Polina Plaen, Raphaël Lecocq, Thomas et al.

Contributors: Lemenkova, Polina Plaen, Raphaël Lecocq, Thomas et al.

Source: 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.

Subject Terms: 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

Availability: 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

SAGA GIS for information extraction on presence and conditions of vegetation of northern coast of Iceland based on the Landsat TM

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

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

Source: Acta Biologica Marisiensis ; https://hal.archives-ouvertes.fr/hal-02986272 ; Acta Biologica Marisiensis, 2020, 3 (2), pp.10 - 21. ⟨10.2478/abmj-2020-0007⟩ ; https://abmj.ro/uncategorized/saga-gis-for-information-extraction-on-presence-and-conditions-of-vegetation-of-northern-coast-of-iceland-based-on-the-landsat-tm/

Subject Terms: Iceland, Landsat TM, SAGA GIS, cartography, vegetation index, machine learning, automatization, mapping, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, 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.2: ARTIFICIAL INTELLIGENCE, 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.4.1: 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.4.6: 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.4.6.0: Edge and feature detection, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SDE]Environmental Sciences

Relation: hal-02986272; https://hal.archives-ouvertes.fr/hal-02986272; https://hal.archives-ouvertes.fr/hal-02986272/document; https://hal.archives-ouvertes.fr/hal-02986272/file/10.2478_abmj-2020-0007.pdf

Availability: https://hal.archives-ouvertes.fr/hal-02986272
https://hal.archives-ouvertes.fr/hal-02986272/document
https://hal.archives-ouvertes.fr/hal-02986272/file/10.2478_abmj-2020-0007.pdf
https://doi.org/10.2478/abmj-2020-0007

Front Shape Similarity Measure for Shape-Oriented Sensitivity Analysis and Data Assimilation for Eikonal Equation

Authors: Rochoux, Mélanie Collin, Annabelle Zhang, Cong et al.

Contributors: Rochoux, Mélanie Collin, Annabelle Zhang, Cong et al.

Source: ESAIM: Proceedings and Surveys, Vol 63, Pp 258-279 (2018)

Subject Terms: T57-57.97, Applied mathematics. Quantitative methods, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.8: Partial Differential Equations/G.1.8.6: Inverse problems, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 01 natural sciences, 13. Climate action, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.4: Size and shape, QA1-939, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP], Mathematics, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.8: Partial Differential Equations/G.1.8.5: Hyperbolic equations, 0105 earth and related environmental sciences

File Description: application/pdf

Access URL: https://www.esaim-proc.org/articles/proc/pdf/2018/03/proc_esaim2018_258.pdf
https://doaj.org/article/7fbd8f0cc0224ef785cecb4d77ae81b7
https://inria.hal.science/hal-01625575v1/document
https://doi.org/10.1051/proc/201863258
https://inria.hal.science/hal-01625575v1
https://hal.archives-ouvertes.fr/hal-01625575
https://hal.inria.fr/hal-01625575/document
https://www.esaim-proc.org/articles/proc/abs/2018/03/proc_esaim2018_258/proc_esaim2018_258.html
https://hal.inria.fr/hal-01625575
https://www.esaim-proc.org/articles/proc/pdf/2018/03/proc_esaim2018_258.pdf
https://www.esaim-proc.org/10.1051/proc/201863258/pdf

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

Distance-Based Vegetation Indices Computed by Saga GIS: A Comparison of the Perpendicular and Transformed Soil Adjusted Approaches for the Landsat TM Image

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: ISSN: 0554-5587 ; Poljoprivredna Tehnika ; https://hal.archives-ouvertes.fr/hal-03344552 ; Poljoprivredna Tehnika, University of Belgrade, Faculty of Agriculture, 2021, 46 (3), pp.49-60. ⟨10.5937/PoljTeh2103049L⟩ ; http://www.jageng.agrif.bg.ac.rs/.

Subject Terms: SAGA GIS, landsat TM, cartography, Vegetation Index, PVI, TSAVI, agriculture, mapping, iceland, environment, 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.4.8: 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.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, 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, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [SDV.EE]Life Sciences [q-bio]/Ecology, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SDE.MCG]Environmental Sciences/Global Changes, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering

Relation: hal-03344552; https://hal.archives-ouvertes.fr/hal-03344552; https://hal.archives-ouvertes.fr/hal-03344552/document; https://hal.archives-ouvertes.fr/hal-03344552/file/PT_03-2021_Lemenkova_49_60.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03344552
https://hal.archives-ouvertes.fr/hal-03344552/document
https://hal.archives-ouvertes.fr/hal-03344552/file/PT_03-2021_Lemenkova_49_60.pdf
https://doi.org/10.5937/PoljTeh2103049L

ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík

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: ISSN: 2738-0971 ; Bulletin of Natural Sciences Research ; https://hal.archives-ouvertes.fr/hal-03277625 ; Bulletin of Natural Sciences Research, University of Priština - Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica, 2021, 11 (1), pp.29-37. ⟨10.5937/bnsr11-30488⟩ ; https://scindeks.ceon.rs/journaldetails.aspx?issn=2738-0971&lang=en.

Subject Terms: Machine learning, Landsat TM, ArcGIS, Cartography, Geography, Landscape, Land cover / land use, Mapping, Data visceralization, Data modeling, ACM: K.: Computing Milieux, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, 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.4.10: Image Representation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO]Computer Science [cs], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SDE]Environmental Sciences, [SDE.MCG]Environmental Sciences/Global Changes, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]

Relation: hal-03277625; https://hal.archives-ouvertes.fr/hal-03277625; https://hal.archives-ouvertes.fr/hal-03277625/document; https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03277625
https://hal.archives-ouvertes.fr/hal-03277625/document
https://hal.archives-ouvertes.fr/hal-03277625/file/document.pdf
https://doi.org/10.5937/bnsr11-30488

A study on loss functions and decision thresholds for the segmentation of multiple sclerosis lesions on spinal cord MRI

Authors: Hussein, Burhan Rashid Meurée, Cédric Gaubert, Malo et al.

Contributors: Hussein, Burhan Rashid Meurée, Cédric Gaubert, Malo et al.

Source: https://hal.science/hal-03865212 ; 2022.

Subject Terms: spinal cord, loss function, decision threshold, medical imaging, Multiple sclerosis, segmentation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: hal-03865212; https://hal.science/hal-03865212; https://hal.science/hal-03865212/document; https://hal.science/hal-03865212/file/ISBI_Primus_final.pdf

Availability: https://hal.science/hal-03865212
https://hal.science/hal-03865212/document
https://hal.science/hal-03865212/file/ISBI_Primus_final.pdf

Physically-coherent Extraction of Mitral Valve Chordae

Authors: Panicheva, Daryna Villard, Pierre-Frédéric Hammer, Peter et al.

Contributors: Panicheva, Daryna Villard, Pierre-Frédéric Hammer, Peter et al.

Source: International Conference in Computing in Cardiology ; https://inria.hal.science/hal-02368810 ; International Conference in Computing in Cardiology, Sep 2019, Singapore, Singapore. pp.4 ; http://cinc2019.org

Subject Terms: Topology-based image analysis, segmentation methodologies, FEM simulation, 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.6: SIMULATION AND MODELING, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Subject Geographic: Singapore

Availability: https://inria.hal.science/hal-02368810
https://inria.hal.science/hal-02368810v1/document
https://inria.hal.science/hal-02368810v1/file/cinc2019_full.pdf

Supervised image segmentation using Q-Shift Dual-Tree Complex Wavelet Transform coefficients with a texton approach

Authors: Kennel, Pol Fiorio, Christophe Borne, Frederic et al.

Contributors: Kennel, Pol Fiorio, Christophe Borne, Frederic et al.

Source: Pattern Analysis and Application

Subject Terms: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, télédétection, logiciel, 02 engineering and technology, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], analyse d'image, couverture végétale, modèle mathématique, partitioning, Textons, Scale-invariant features, couverture du sol, 0202 electrical engineering, electronic engineering, information engineering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, Supervised segmentation, 15. Life on land, Q-Shift Dual-Tree Complex Wavelet Transform (DT-CWT), [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Texture analysis, Rotation-invariant features, Support vector machine (SVM), P01 - Conservation de la nature et ressources foncières, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.7: Feature Measurement/I.4.7.5: Texture, U30 - Méthodes de recherche

File Description: text

Access URL: https://link.springer.com/article/10.1007/s10044-015-0491-1
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168016
https://agritrop.cirad.fr/576275/
https://dblp.uni-trier.de/db/journals/paa/paa20.html#KennelFB17
https://dl.acm.org/doi/10.1007/s10044-015-0491-1
http://agritrop.cirad.fr/576275/
http://agritrop.cirad.fr/576275/7/art%3A10.1007%2Fs10044-015-0491-1.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168016v1
https://doi.org/10.1007/s10044-015-0491-1

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

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

Urban-Rural Environmental Gradient in a Developing City: Testing ENVI GIS Functionality

Authors: Lemenkova, Polina Ocean University of China (OUC) A. Z. Terlikbayeva et al.

Contributors: Lemenkova, Polina Ocean University of China (OUC) A. Z. Terlikbayeva et al.

Source: Abishevskie Readings. Innovation in the Complex Processing of Mineral Raw Materials ; https://hal.archives-ouvertes.fr/hal-01972887 ; Abishevskie Readings. Innovation in the Complex Processing of Mineral Raw Materials, Jan 2016, Almaty, Kazakhstan. pp.191-195, ⟨10.6084/m9.figshare.7210286⟩

Subject Terms: Urban Landscape, City Development, GIS, Spatial Analysis, Image classification, K-means Clustering, Clustering Algorithm, Clustering Analysis, Satellite image analysis, Landsat TM and ETM images, Landsat Imagery, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, 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.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/I.4.1.1: Imaging geometry, 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.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.8: Shape, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, 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

Subject Geographic: Almaty, Kazakhstan

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1812.10378; hal-01972887; https://hal.archives-ouvertes.fr/hal-01972887; https://hal.archives-ouvertes.fr/hal-01972887/document; https://hal.archives-ouvertes.fr/hal-01972887/file/Lemenkova_Almaty_Abishev2016.pdf; ARXIV: 1812.10378

Availability: https://hal.archives-ouvertes.fr/hal-01972887
https://hal.archives-ouvertes.fr/hal-01972887/document
https://hal.archives-ouvertes.fr/hal-01972887/file/Lemenkova_Almaty_Abishev2016.pdf
https://doi.org/10.6084/m9.figshare.7210286

Accurate Binary Image Selection from Inaccurate User Input

Authors: Subr, Kartic Paris, Sylvain Soler, Cyril et al.

Contributors: Subr, Kartic Paris, Sylvain Soler, Cyril et al.

Source: Computer Graphics Forum. 32:41-50

Subject Terms: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, partitioning, 0202 electrical engineering, electronic engineering, information engineering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, 02 engineering and technology, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

File Description: application/pdf

Access URL: http://www0.cs.ucl.ac.uk/staff/K.Subr/Files/Papers/SelEG13.pdf
https://inria.hal.science/hal-00782232v1/document
https://doi.org/10.1111/cgf.12024
https://inria.hal.science/hal-00782232v1
https://dblp.uni-trier.de/db/journals/cgf/cgf32.html#SubrPSK13
https://core.ac.uk/display/102715382
https://doi.org/10.1111/cgf.12024
https://diglib.eg.org/handle/10.1111/v32i2pp041-050
https://hal.inria.fr/hal-00782232
https://researchportal.hw.ac.uk/en/publications/accurate-binary-image-selection-from-inaccurate-user-input

Scale-space for empty catheter segmentation in PCI fluoroscopic images

Authors: Bacchuwar, Ketan Cousty, Jean Vaillant, Régis et al.

Contributors: Bacchuwar, Ketan Cousty, Jean Vaillant, Régis et al.

Source: ISSN: 1861-6410.

Subject Terms: guiding catheter, mathematical morphology, cardiology, Percutaneous coronary intervention, 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, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging

Relation: info:eu-repo/semantics/altIdentifier/pmid/28534311; PUBMED: 28534311

Availability: https://hal.science/hal-01445849
https://hal.science/hal-01445849v3/document
https://hal.science/hal-01445849v3/file/EmptyCatheterSegmentation_2017_HAL_2.0.pdf
https://doi.org/10.1007/s11548-017-1612-7

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

Environmental modelling of urban landscapes as complex, vulnerable and dynamically developing structures

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

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

Source: Biodiversity. Bioconservation. Biomonitoring ; https://hal.archives-ouvertes.fr/hal-01973758 ; Biodiversity. Bioconservation. Biomonitoring, Adygea State University (ASU), Oct 2015, Maykop, Russia. ⟨10.6084/m9.figshare.7211537.v2⟩ ; https: //elibrary.ru/item.asp?id=24618984

Subject Terms: Land cover change, GIS & Spatial Analyses, GIS Data Modelling, Landsat Imagery, Landsat ETM, Satellite image interpretation, Landsat 7 ETM+, Image Analysis, Image processing, SIG Systèmes d'information géographique, SIG et modélisation spatiale, SIG Raster, 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/I.4.0.1: Image processing software, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques/I.3.6.2: Graphics data structures and data types, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: 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.4.6: Segmentation/I.4.6.1: Pixel classification, 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/I.4.0.0: Image displays, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDE.ES]Environmental Sciences/Environmental and Society

Subject Geographic: Maykop, Russia

Relation: hal-01973758; https://hal.archives-ouvertes.fr/hal-01973758; https://hal.archives-ouvertes.fr/hal-01973758/document; https://hal.archives-ouvertes.fr/hal-01973758/file/Lemenkova_Adygea.pdf

Availability: https://hal.archives-ouvertes.fr/hal-01973758
https://hal.archives-ouvertes.fr/hal-01973758/document
https://hal.archives-ouvertes.fr/hal-01973758/file/Lemenkova_Adygea.pdf
https://doi.org/10.6084/m9.figshare.7211537.v2