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Volume V-3-2021, 2021 | XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission III

2021 edition, 5–9 July 2021
Editor(s): N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, J. Jiang, A. Shaker, H. Zhang, X. Liang, B. Osmanoglu, U. Soergel, E. Honkavaara, M. Scaioni, J. Zhang, A. Peled, L. Wu, R. Li, M. Yoshimura, K. Di, O. Altan, H. M. Abdulmuttalib, ​and F. S. Faruque
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Volume V-3-2021, 2021 | XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission III

2021 edition, 5–9 July 2021
Editor(s): N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, J. Jiang, A. Shaker, H. Zhang, X. Liang, B. Osmanoglu, U. Soergel, E. Honkavaara, M. Scaioni, J. Zhang, A. Peled, L. Wu, R. Li, M. Yoshimura, K. Di, O. Altan, H. M. Abdulmuttalib, ​and F. S. Faruque
Author index | Keyword index
17 Jun 2021
PREFACE: THE 2021 EDITION OF THE XXIVTH ISPRS CONGRESS
C. Mallet, F. Lafarge, M. Poreba, T. Wu, G. Bahl, M. Yu, A. Garioud, Y. Chen, S. Jiang, M. Y. Yang, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 1–5, https://doi.org/10.5194/isprs-annals-V-3-2021-1-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-1-2021, 2021
17 Jun 2021
PREFACE: TECHNICAL COMMISSION III
J. Jiang, A. Shaker, and H. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 7–7, https://doi.org/10.5194/isprs-annals-V-3-2021-7-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-7-2021, 2021
WG III/1 – Thematic Information Extraction
17 Jun 2021
TOWARDS FINE-GRAINED ROAD MAPS EXTRACTION USING SENTINEL-2 IMAGERY
C. Ayala, C. Aranda, and M. Galar
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 9–14, https://doi.org/10.5194/isprs-annals-V-3-2021-9-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-9-2021, 2021
17 Jun 2021
USE OF LANDSAT-8 OLI IMAGERY AND LOCAL INDIGENOUS KNOWLEDGE FOR EELGRASS MAPPING IN EEYOU ISTCHEE
K. Clyne, B. Leblon, A. LaRocque, M. Costa, M. Leblanc, E. Rabbitskin, and M. Dunn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 15–22, https://doi.org/10.5194/isprs-annals-V-3-2021-15-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-15-2021, 2021
17 Jun 2021
A METHOD OF WATER DEPTH INVERSION IN COASTAL AREA CONSIDERING TEMPERATURE INFORMATION
Y. Liu, X. Gao, G. Wang, T. Zhang, and J. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 23–28, https://doi.org/10.5194/isprs-annals-V-3-2021-23-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-23-2021, 2021
17 Jun 2021
EVALUATING AN AUTOMATED OBJECT-ORIENTED METHOD TO DELINEATE DRUMLINS FROM BOTH TERRESTRIAL AND SUBMARINE DIGITAL ELEVATION MODELS
K. Saha and K. J. J. Van Landeghem
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 29–35, https://doi.org/10.5194/isprs-annals-V-3-2021-29-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-29-2021, 2021
17 Jun 2021
AN UNSUPERVISED METHOD BASED ON FIRE INDEX ENHANCEMENT AND GRNN FOR AUTOMATED BURNED AREA MAPPING FROM SINGLE-PERIOD REMOTE SENSING IMAGERY
Q. Zhang and Y. Xiao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 37–42, https://doi.org/10.5194/isprs-annals-V-3-2021-37-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-37-2021, 2021
WG III/2 – Microwave Remote Sensing
17 Jun 2021
A CALCULATION METHOD OF ECOSYSTEM SERVICE VALUE BASED ON PRODUCT OF NATIONAL GEOGRAPHIC CONDITIONS MONITORING IN CHINA
T. Cheng, X. Zheng, H. Chen, J. Liu, X. Gao, and W. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 43–50, https://doi.org/10.5194/isprs-annals-V-3-2021-43-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-43-2021, 2021
17 Jun 2021
MONITORING OF TIME-SERIES SOIL MOISTURE BASED ON ADVANCED DINSAR
C. H. Yang and A. Müterthies
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 51–55, https://doi.org/10.5194/isprs-annals-V-3-2021-51-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-51-2021, 2021
WG III/3 – SAR-based Surface Generation and Deformation Monitoring
17 Jun 2021
USING GENERATIVE ADVERSARIAL NETWORKS FOR EXTRACTION OF INSAR SIGNALS FROM LARGE-SCALE SENTINEL-1 INTERFEROGRAMS BY IMPROVING TROPOSPHERIC NOISE CORRECTION
B. Ghosh, M. Haghshenas Haghighi, M. Motagh, and S. Maghsudi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 57–64, https://doi.org/10.5194/isprs-annals-V-3-2021-57-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-57-2021, 2021
17 Jun 2021
SEGMENTATION OF BUILDINGS BASED ON HIGH RESOLUTION PERSISTENT SCATTERER POINT CLOUDS
P. J. Schneider and U. Soergel
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 65–71, https://doi.org/10.5194/isprs-annals-V-3-2021-65-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-65-2021, 2021
WG III/4 – Hyperspectral Image Processing
17 Jun 2021
ADVANCED SURFACE-REFLECTED RADIANCE CORRECTION FOR AIRBORNE HYPERSPECTRAL IMAGERY IN COASTAL RED TIDE DETECTION
J.-E. Min, S.-K. Lee, and J.-H. Ryu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 73–80, https://doi.org/10.5194/isprs-annals-V-3-2021-73-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-73-2021, 2021
17 Jun 2021
DETECTION OF METHANE PLUMES IN HYPERSPECTRAL IMAGES FROM SENTINEL-5P BY COUPLING ANOMALY DETECTION AND PATTERN RECOGNITION
E. Ouerghi, T. Ehret, C. de Franchis, G. Facciolo, T. Lauvaux, E. Meinhardt, and J.-M. Morel
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 81–87, https://doi.org/10.5194/isprs-annals-V-3-2021-81-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-81-2021, 2021
17 Jun 2021
PIECEWISE ANOMALY DETECTION USING MINIMAL LEARNING MACHINE FOR HYPERSPECTRAL IMAGES
A-M. Raita-Hakola and I. Pölönen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 89–96, https://doi.org/10.5194/isprs-annals-V-3-2021-89-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-89-2021, 2021
WG III/6 – Remote Sensing Data Fusion
17 Jun 2021
TOWARD A MULTI-SOURCE REMOTE SENSING WETLAND INVENTORY OF THE USA: PRELIMINARY RESULTS ON WETLAND INVENTORY OF MINNESOTA
S. Adeli, B. Salehi, M. Mahidanpari, and L. J. Quackenbush
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 97–100, https://doi.org/10.5194/isprs-annals-V-3-2021-97-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-97-2021, 2021
17 Jun 2021
MARRYING DEEP LEARNING AND DATA FUSION FOR ACCURATE SEMANTIC LABELING OF SENTINEL-2 IMAGES
G. Fonteix, M. Swaine, M. Leras, Y. Tarabalka, S. Tripodi, F. Trastour, A. Giraud, L. Laurore, and J. Hyland
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 101–107, https://doi.org/10.5194/isprs-annals-V-3-2021-101-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-101-2021, 2021
17 Jun 2021
MULTI-SENSOR APPROACH TO LEAF AREA INDEX ESTIMATION USING STATISTICAL MACHINE LEARNING MODELS: A CASE ON MANGROVE FORESTS
K. P. Martinez, D. F. M. Burgos, A. C. Blanco, and S. G. Salmo III
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 109–115, https://doi.org/10.5194/isprs-annals-V-3-2021-109-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-109-2021, 2021
WG III/7 – Landuse and Landcover Change Detection
17 Jun 2021
MONITORING AND ASSESSMENT OF AGRI-URBAN LAND CONVERSION USING MULTI-SENSOR REMOTE SENSING AND GIS TECHNIQUES
D. C. Fargas Jr., G. A. M. Narciso, and A. C. Blanco
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 117–124, https://doi.org/10.5194/isprs-annals-V-3-2021-117-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-117-2021, 2021
17 Jun 2021
EELGRASS MAPPING WITH SENTINEL-2 AND UAV DATA IN PRINCE EDWARD ISLAND (CANADA)
E. Gallant, A. LaRocque, B. Leblon, and A. Douglas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 125–132, https://doi.org/10.5194/isprs-annals-V-3-2021-125-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-125-2021, 2021
17 Jun 2021
GERMANYS FIRST CLOUD-BASED WEB SERVICE FOR LAND MONITORING USING COPERNICUS SENTINEL-2 DATA
P. Knoefel, D. Herrmann, M. Sindram, and M. Hovenbitzer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 133–140, https://doi.org/10.5194/isprs-annals-V-3-2021-133-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-133-2021, 2021
17 Jun 2021
CONTRIBUTION INDEX OF LAND COVER AND LAND SURFACE TEMPERATURE CHANGES IN UPPER HILL NAIROBI, KENYA
P. W. Mwangi, F. N. Karanja, P. K. Kamau, and S. C. Letema
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 141–149, https://doi.org/10.5194/isprs-annals-V-3-2021-141-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-141-2021, 2021
17 Jun 2021
ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION FOR DEFORESTATION DETECTION
J. Noa, P. J. Soto, G. A. O. P. Costa, D. Wittich, R. Q. Feitosa, and F. Rottensteiner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 151–158, https://doi.org/10.5194/isprs-annals-V-3-2021-151-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-151-2021, 2021
17 Jun 2021
POSITIVE AND NEGATIVE ROUGHNESS ACCORDING TO LOCAL DIFFERENCES BETWEEN DEM SURFACE AND 3D REFERENCE PLANES
J.-F. Parrot and C. Ramírez-Núñez
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 159–165, https://doi.org/10.5194/isprs-annals-V-3-2021-159-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-159-2021, 2021
17 Jun 2021
COMPARISON OF CLASSIFICATION ALGORITHMS OF IMAGES FOR THE MAPPING OF THE LAND COVERING IN TASSO FRAGOSO MUNICIPALITY, BRAZIL
P. R. M. Pereira, F. W. D. Costa, E. L. Bolfe, L. Macarringe, and A. C. Botelho
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 167–173, https://doi.org/10.5194/isprs-annals-V-3-2021-167-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-167-2021, 2021
17 Jun 2021
DEEP BAYESIAN ACTIVE LEARNING IN HIGH-RESOLUTION SATELLITE IMAGES FOR CHANGE DETECTION IN URBAN AND SUBURBAN AREAS
L. Ragia and A. Panagiotopoulou
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 175–180, https://doi.org/10.5194/isprs-annals-V-3-2021-175-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-175-2021, 2021
17 Jun 2021
INVESTIGATIONS ON FEATURE SIMILARITY AND THE IMPACT OF TRAINING DATA FOR LAND COVER CLASSIFICATION
M. Voelsen, D. Lobo Torres, R. Q. Feitosa, F. Rottensteiner, and C. Heipke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 181–189, https://doi.org/10.5194/isprs-annals-V-3-2021-181-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-181-2021, 2021
WG III/9 – Cryosphere and Hydrosphere
17 Jun 2021
WATER QUALITY RETRIEVAL AND ALGAL BLOOM DETECTION USING HIGH-RESOLUTION CUBESAT IMAGERY
M. Niroumand-Jadidi and F. Bovolo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 191–195, https://doi.org/10.5194/isprs-annals-V-3-2021-191-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-191-2021, 2021
17 Jun 2021
ESTIMATION OF SNOW DEPLETION CURVE FOR GANGOTRI BASIN USING MULTI-SOURCE REMOTE SENSING DATA
P. Verma, S. K. Ghosh, and R. Ramsankaran
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 197–202, https://doi.org/10.5194/isprs-annals-V-3-2021-197-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-197-2021, 2021
WG III/10 – Agriculture and Natural Ecosystems Modelling and Monitoring
17 Jun 2021
FOREST COVER MAPPING AND PINUS SPECIES CLASSIFICATION USING VERY HIGH-RESOLUTION SATELLITE IMAGES AND RANDOM FOREST
L. Alonso, J. Picos, and J. Armesto
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 203–210, https://doi.org/10.5194/isprs-annals-V-3-2021-203-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-203-2021, 2021
17 Jun 2021
ESTIMATION OF OPTIMAL CROWN COVERAGE AND CANOPY SHAPE FOR SHADOW ESTIMATION ON TROPICAL MOIST BROADLEAF FOREST
T. Fujiwara and W. Takeuchi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 211–217, https://doi.org/10.5194/isprs-annals-V-3-2021-211-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-211-2021, 2021
17 Jun 2021
A FULLY AUTOMATED AND FAST APPROACH FOR CANOPY COVER ESTIMATION USING SUPER HIGH-RESOLUTION REMOTE SENSING IMAGERY
M. Maimaitijiang, V. Sagan, S. Bhadra, C. Nguyen, T. C. Mockler, and N. Shakoor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 219–226, https://doi.org/10.5194/isprs-annals-V-3-2021-219-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-219-2021, 2021
17 Jun 2021
ESTIMATION OF LAND SURFACE ALBEDO FROM GCOM-C/SGLI SURFACE REFLECTANCE
J. Susaki, H. Sato, A. Kuriki, K. Kajiwara, and Y. Honda
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 227–234, https://doi.org/10.5194/isprs-annals-V-3-2021-227-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-227-2021, 2021
17 Jun 2021
A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 235–241, https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021, 2021
ICWG III/IVa – Disaster Assessment, Monitoring and Management
17 Jun 2021
POST-DISASTER ASSESSMENT OF MANGROVE FOREST RECOVERY IN LAWAAN-BALANGIGA, EASTERN SAMAR USING NDVI TIME SERIES ANALYSIS
K. E. Cabello, M. Q. Germentil, A. C. Blanco, E. G. Macatulad, and S. G. Salmo III
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 243–250, https://doi.org/10.5194/isprs-annals-V-3-2021-243-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-243-2021, 2021
17 Jun 2021
UPDATING LANDSLIDE INVENTORY MAPS USING HIGH RESOLUTION DIGITAL ORTHOPHOTOS AND DIGITAL SURFACE AND ELEVATION MODELING: THE CASE STUDY OF BRUSQUE CITY, SANTA CATARINA STATE, BRAZIL
L. S. Osako
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 251–255, https://doi.org/10.5194/isprs-annals-V-3-2021-251-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-251-2021, 2021
17 Jun 2021
A COMPARISON OF MACHINE LEARNING MODELS FOR SOIL SALINITY ESTIMATION USING MULTI-SPECTRAL EARTH OBSERVATION DATA
A. Zarei, M. Hasanlou, and M. Mahdianpari
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 257–263, https://doi.org/10.5194/isprs-annals-V-3-2021-257-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-257-2021, 2021
ICWG III/IVb – Remote Sensing Data Quality
17 Jun 2021
RESEARCH ON QUALITY CONTROL METHOD OF LAND COVER CLASSIFICATION DATA ORIENTED TO NATIONAL GEOGRAPHIC CONDITION MONITORING
W. J. Mao, H. T. Zhao, W. C. Gao, H. J. Tu, and Y. M. Xu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 265–269, https://doi.org/10.5194/isprs-annals-V-3-2021-265-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-265-2021, 2021
17 Jun 2021
EVALUATING THE IMPACT OF LASRC AND SEN2COR ATMOSPHERIC CORRECTION ALGORITHMS ON LANDSAT-8/OLI AND SENTINEL-2/MSI DATA OVER AERONET STATIONS IN BRAZILIAN TERRITORY
R. F. B. Marujo, J. G. Fronza, A. R. Soares, G. R. Queiroz, and K. R. Ferreira
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 271–277, https://doi.org/10.5194/isprs-annals-V-3-2021-271-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-271-2021, 2021
ICWG III/IVc – Environment and Health
17 Jun 2021
WATER QUALITY MONITORING OVER FINGER LAKES REGION USING SENTINEL-2 IMAGERY ON GOOGLE EARTH ENGINE CLOUD COMPUTING PLATFORM
R. M. Khan, B. Salehi, M. Mahdianpari, and F. Mohammadimanesh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 279–283, https://doi.org/10.5194/isprs-annals-V-3-2021-279-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-279-2021, 2021
17 Jun 2021
TOWARDS DETECTING FLOATING OBJECTS ON A GLOBAL SCALE WITH LEARNED SPATIAL FEATURES USING SENTINEL 2
J. Mifdal, N. Longépé, and M. Rußwurm
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 285–293, https://doi.org/10.5194/isprs-annals-V-3-2021-285-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-285-2021, 2021
TS – Unconventional applications for geospatial deep learning
17 Jun 2021
END-TO-END PHYSICS-INFORMED REPRESENTATION LEARNING FOR SATELLITE OCEAN REMOTE SENSING DATA: APPLICATIONS TO SATELLITE ALTIMETRY AND SEA SURFACE CURRENTS
R. Fablet, M. M. Amar, Q. Febvre, M. Beauchamp, and B. Chapron
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 295–302, https://doi.org/10.5194/isprs-annals-V-3-2021-295-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-295-2021, 2021
17 Jun 2021
DEEP LEARNING FOR VESSEL DETECTION AND IDENTIFICATION FROM SPACEBORNE OPTICAL IMAGERY
G. Matasci, J. Plante, K. Kasa, P. Mousavi, A. Stewart, A. Macdonald, A. Webster, and J. Busler
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 303–310, https://doi.org/10.5194/isprs-annals-V-3-2021-303-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-303-2021, 2021
17 Jun 2021
DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES
S. Saha, L. Kondmann, and X. X. Zhu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 311–316, https://doi.org/10.5194/isprs-annals-V-3-2021-311-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-311-2021, 2021
17 Jun 2021
JUNGLE-NET: USING EXPLAINABLE MACHINE LEARNING TO GAIN NEW INSIGHTS INTO THE APPEARANCE OF WILDERNESS IN SATELLITE IMAGERY
T. Stomberg, I. Weber, M. Schmitt, and R. Roscher
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 317–324, https://doi.org/10.5194/isprs-annals-V-3-2021-317-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-317-2021, 2021
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