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

TH1.R17.9

FROM SUPERVISED TO UNSUPERVISED LEARNING FOR LAND COVER ANALYSIS OF SENTINEL-2 MULTISPECTRAL IMAGES.

Jayasree Saha, Yuvraj Khanna, Jayanta Mukhopadhyay, Subhas Aikat, Indian Institute of Technology Kharagpur, India
Session:
Learning and Adaptive Methods for Image Clustering
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Thu, 1 Oct, 13:20-13:30 (UTC)
Thu, 1 Oct, 21:20-21:30 China Standard Time (UTC +8)
Thu, 1 Oct, 15:20-15:30 Central Europe Summer Time (UTC +2)
Thu, 1 Oct, 06:20-06:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Xudong Kang, Hunan University and Thales Körting, INPE
Session Managers:
Ahmed Balakhder and Genc Hoxha

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Session

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