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 WE1.R20: Processing Schemes for Hyperspectral Imaging
Presentation Mode Virtual
Session Time Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsShutao Li, Hunan University and Begüm Demir, Technische Universität Berlin
WE1.R20.1: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON SEMI-SUPERVISED DUAL-BRANCH CONVOLUTIONAL AUTOENCODER WITH SELF-ATTENTION
         Jie Feng; Xidian University
         Zhanwei Ye; Xidian University
         Di Li; Xidian University
         Yuping Liang; Xidian University
         Xu Tang; Xidian University
         Xiangrong Zhang; Xidian University
WE1.R20.2: HYPERSPECTRAL BAND SELECTION USING MOTH-FLAME METAHEURISTIC OPTIMIZATION
         Ethan Worch; Mississippi State University
         Sathishkumar Samiappan; Mississippi State University
         Meilun Zhou; Mississippi State University
         John E. Ball; Mississippi State University
WE1.R20.3: MULTI-DIMENSION CNN FOR HYPERSPECTRAL IMAGE CLASSIFICATON
         Haojie Cai; China University of Geosciences
         Tao Chen; China University of Geosciences
WE1.R20.4: LOCAL CORRELATION BASED DATA GRAVITATION CLASSIFICATION FOR HYPERSPECTRAL IMAGE
         Chenglong Zhang; China University of Petroleum (East China)
         Aizhu Zhang; China University of Petroleum (East China)
         Genyun Sun; China University of Petroleum (East China)
         Yanjuan Yao; Satellite Environment Center, Ministry of Environmental Protection of China
WE1.R20.5: HYPERSPECTRAL IMAGE CLASSIFICATION VIA MULTI-SCALE ENCODER-DECODER NETWORK
         Jingjing Ma; Xidian University
         Linlin Wu; Xidian University
         Xu Tang; Xidian University
         Xiangrong Zhang; Xidian University
         Cheng Zhu; Xidian University
         Junyong Ma; Science and Technology on Electro-optic Control Laboratory
         Licheng Jiao; Xidian University
WE1.R20.6: SPECTRAL PROPERTIES ANALYSIS OF WASTEWATER IN OIL FIELD AND ITS REMOTE SENSING DETECTION WITH GF-2
         Yang Liu; PetroChina
         Nannan Zhang; PetroChina
         Hongyan Guo; PetroChina
         Shanhong Huang; PetroChina
         Miaofen Huang; Guangdong Ocean University
         Song Liu; PetroChina
WE1.R20.7: UNSUPERVISED FEATURE EXTRACTION IN HYPERSPECTRAL IMAGE BASED ON IMPROVED NEIGHBORHOOD PRESERVING EMBEDDING
         Jia Feng; Harbin Institute of Technology
         Junping Zhang; Harbin Institute of Technology
WE1.R20.8: MULTI-CLASSIFIERS CONSISTENCY BASED UNSUPERVISED MANIFOLD ALIGNMENT FOR CLASSIFICATION OF REMOTE SENSING IMAGES
         Hongkang Wei; China University of Geosciences
         Li Ma; China University of Geosciences
         Xiaobo Liu; China University of Geosciences
WE1.R20.9: ACTIVE DEEP FEATURES EXTRACTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON DICTIONARY LEARNING
         Xue Wang; East China Normal University
         Kun Tan; East China Normal University
         Xiuping Jia; University of New South Wales
         Zhaoxian Liu; Second Surveying and Mapping Institute of Hebei
WE1.R20.10: FEATURE CONCATENATION OF HYPERSPECTRAL AND DEM DATA FOR LAND COVER CLASSIFICATION
         Wolfgang Gross; Fraunhofer IOSB
         Dimitri Bulatov; Fraunhofer IOSB
         Simon Schreiner; Fraunhofer IOSB
         Wolfgang Middelmann; Fraunhofer IOSB
WE1.R20.11: IMPROVED VEGETATION AND WILDFIRE FUEL TYPE MAPPING USING NASA AVIRIS-NG HYPERSPECTRAL DATA, INTERIOR AK
         Christopher Smith; University of Alaska Fairbanks
         Santosh Panda; University of Alaska Fairbanks
         Uma Bhatt; University of Alaska Fairbanks
         Franz Meyer; University of Alaska Fairbanks
         Robert Haan; University of Alaska Anchorage