2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title TH1.R17: Learning and Adaptive Methods for Image Clustering
Presentation Mode Virtual
Session Time Thu, 01 Oct, 12:00 - 14:00 UTC
Thu, 01 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 01 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Thu, 01 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsXudong Kang, Hunan University and Thales Körting, INPE
TH1.R17.1: PATCH BASED LAND COVER CLASSIFICATION: A COMPARISON OF DEEP LEARNING, SVM AND NN CLASSIFIERS
         Mahesh Pal; National Institute of Technology, Kurukshetra
         Akshay Poriya; National Institute of Technology, Kurukshetra
         Himanshu Rohilla; National Institute of Technology, Kurukshetra
         B. Charan Teja; National Institute of Technology, Kurukshetra
TH1.R17.2: A LEARNABLE BLUR KERNEL FOR REMOTE SENSING IMAGE RETRIEVAL
         Zelin Peng; Xidian University
         Guanchun Wang; Xidian University
         Xiangrong Zhang; Xidian University
         Xu Tang; Xidian University
         Li Gao; State Key Laboratory of Geo-information Engineering
         Licheng Jiao; Xidian University
TH1.R17.3: INTEGRATION OF SENTINEL 1 AND 2 OBSERVATIONS FOR MAPPING EARLY AND LATE SOWING OF SOYBEAN AND COTTON CROP USING DEEP LEARNING
         Jayantrao Mohite; Tata Consultancy Services
         Suryakant Sawant; Tata Consultancy Services
         Ankur Pandit; Tata Consultancy Services
         Srinivasu Pappula; Tata Consultancy Services
TH1.R17.4: END-TO-END DEEP LEARNING SEMANTIC CLASSIFICATION ARCHITECTURE FOR REMOTE SENSING IMAGERY
         Haiyan Gu; Chinese Academy of Surveying and Mapping
         Yi Yang; Chinese Academy of Surveying and Mapping
         Yanshun Han; Chinese Academy of Surveying and Mapping
         Haitao Li; Chinese Academy of Surveying and Mapping
         Ying Tang; Lanzhou Jiaotong University
TH1.R17.5: PYRAMID CONVOLUTIONAL NEURAL NETWORKS AND BOTTLENECK RESIDUAL MODULES FOR CLASSIFICATION OF MULTISPECTRAL IMAGES
         Yukun Huang; Jiangxi University of Finance and Economics
         Jingbo Wei; Nanchang University
         Wenchao Tang; Nanchang University
         Chaoqi He; Nanchang University
TH1.R17.6: SAMPLING SUBJECTIVE POLYGONS FOR PATCH-BASED DEEP LEARNING LAND-USE CLASSIFICATION IN SATELLITE IMAGES
         Jacob Arndt; Oak Ridge National Laboratory
         Dalton Lunga; Oak Ridge National Laboratory
TH1.R17.7: SIMILAR REGION RECOMMENDATION BASED ON HISTOGRAM FEATURES
         Qiankun Liu; University of Electronic Science and Technology of China
         Qiang Liu; University of Electronic Science and Technology of China
         Dingyou Xu; University of Electronic Science and Technology of China
         Jing He; University of Electronic Science and Technology of China
         Yukun Mao; University of Electronic Science and Technology of China
TH1.R17.8: A CYCLE GAN APPROACH FOR HETEROGENEOUS DOMAIN ADAPTATION IN LAND USE CLASSIFICATION
         Claire Voreiter; Université Bretagne Sud
         Jean-Christophe Burnel; Université Bretagne Sud
         Pierre Lassalle; Centre National d'Etudes Spatiales (CNES)
         Marc Spigai; Thales Alenia Space
         Romain Hugues; Thales Alenia Space
         Nicolas Courty; Université Bretagne Sud
TH1.R17.9: FROM SUPERVISED TO UNSUPERVISED LEARNING FOR LAND COVER ANALYSIS OF SENTINEL-2 MULTISPECTRAL IMAGES.
         Jayasree Saha; Indian Institute of Technology Kharagpur
         Yuvraj Khanna; Indian Institute of Technology Kharagpur
         Jayanta Mukhopadhyay; Indian Institute of Technology Kharagpur
         Subhas Aikat; Indian Institute of Technology Kharagpur
TH1.R17.10: DEEP CONVOLUTIONAL NEURAL NETWORK FOR MANGROVE MAPPING
         Corina Iovan; Institut de Recherche pour le Developpement
         Michel Kulbicki; Institut de Recherche pour le Developpement
         Eric Mermet; École des hautes études en sciences sociales
TH1.R17.11: APPROACHING REMOTE SENSING IMAGE CLASSIFICATION WITH ENSEMBLES OF SUPPORT VECTOR MACHINES ON THE D-WAVE QUANTUM ANNEALER
         Gabriele Cavallaro; Forschungszentrum Jülich
         Dennis Willsch; Forschungszentrum Jülich
         Madita Willsch; Forschungszentrum Jülich
         Kristel Michielsen; Forschungszentrum Jülich
         Morris Riedel; Forschungszentrum Jülich