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 TH2.R3: Feature Reduction by Neural and/or Spatial Characterization II
Presentation Mode Virtual
Session Time Thu, 01 Oct, 14:30 - 16:30 UTC
Thu, 01 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Thu, 01 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Thu, 01 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsGabriele Moser, University of Genoa and Tang Xu, School of Artificial intelligence, Xidian University
TH2.R3.1: DEEP MANIFOLD LEARNING NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Zhengying Li; Chongqing University
         Hong Huang; Chongqing University
         Chunyu Pu; Chongqing University
TH2.R3.2: BAND ELIMINATION FOR DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES USING MUTUAL INFORMATION
         Abhishek Dey; Bethune College, University of Calcutta
         Susmita Ghosh; Jadavpur University
         Ashish Ghosh; Indian Statistical Institute
TH2.R3.3: DIMENSIONALITY REDUCTION USING 3D RESIDUAL AUTOENCODER FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Shivam Pande; Indian Institute of Technology Bombay
         Biplab Banerjee; Indian Institute of Technology Bombay
TH2.R3.4: HYPERSPECTRAL TARGET DETECTION BASED ON TARGET-CONSTRAINED INTERFERENCE-MINIMIZED BAND SELECTION
         Xiaodi Shang; Dalian Maritime University
         Meiping Song; Dalian Maritime University
         Yulei Wang; Dalian Maritime University
         Haoyang Yu; Dalian Maritime University
         Chien-I Chang; University of Maryland Baltimore County
TH2.R3.5: SPATIAL-SPECTRAL COMBINATION CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Chunyu Pu; College of Opto-Electronics Engineering of Chongqing University
         Hong Huang; College of Opto-Electronics Engineering of Chongqing University
         Zhengying Li; College of Opto-Electronics Engineering of Chongqing University
TH2.R3.6: NEURAL NETWORK PRUNING FOR HYPERSPECTRAL IMAGE BAND SELECTION
         QiXiong Wang; Beihang University
         Xiaoyan Luo; Beihang University
         Sen Li; Beihang University
         Jihao Yin; Beihang University
TH2.R3.7: CREATING RGB IMAGES FROM HYPERSPECTRAL IMAGES USING A COLOR MATCHING FUNCTION
         Magnus Magnusson; University of Iceland
         Jakob Sigurdsson; University of Iceland
         Sveinn Eirikur Armansson; University of Iceland
         Magnus Orn Ulfarsson; University of Iceland
         Hilda Deborah; Norwegian University of Science and Technology
         Johannes R Sveinsson; University of Iceland
TH2.R3.8: UNSUPERVISED HYPERSPECTRAL EMBEDDING BY LEARNING A DEEP REGRESSION NETWORK
         Danfeng Hong; German Aerospace Center (DLR)
         Jing Yao; German Aerospace Center (DLR)
         Jocelyn Chanussot; Univ. Grenoble Alpes,INRIA, CNRS, Grenoble INP, LJK
         Xiaoxiang Zhu; German Aerospace Center (DLR)
TH2.R3.9: META NETWORK FOR RADAR HRRP NONCOOPERATIVE TARGET RECOGNITION WITH MISSING ASPECTS
         Long Tian; Xidian University
         Bo Chen; Xidian University
         Yang Peng; Xidian University
         Chuan Du; Sun Yat-sen University
         Zhenhua Wu; Anhui University
         Hongwei Liu; Xidian University
TH2.R3.10: REMOTE SENSING IMAGES FEATURE LEARNING BASED ON MULTI-BRANCH NETWORKS
         Chao Liu; Xidian University
         Xu Tang; Xidian University
         Jingjing Ma; Xidian University
         Xiangrong Zhang; Xidian University
         Fang Liu; Nanjing University of Science and Technology
         Junyong Ma; Science and Technology on Electro-optic Control Laboratory
         Licheng Jiao; Xidian University
TH2.R3.11: STMETRICS: A PYTHON PACKAGE FOR SATELLITE IMAGE TIME-SERIES FEATURE EXTRACTION
         Anderson Soares; National Institute for Space Research (INPE)
         Hugo Bendini; National Institute for Space Research (INPE)
         Daiane Vaz; National Institute for Space Research (INPE)
         Tatiana Uehara; National Institute for Space Research (INPE)
         Alana Neves; National Institute for Space Research (INPE)
         Sarah Lechler; University of Muenster
         Thales Körting; National Institute for Space Research (INPE)
         Leila Fonseca; National Institute for Space Research (INPE)