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

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Session Detail

Session Title MO2.R5: Hyperspectral Image Classification I
Presentation Mode Virtual
Session Time Mon, 28 Sep, 14:30 - 16:30 UTC
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsAntonio Plaza, University of Extremadura and Fabio Pacifici, Maxar
MO2.R5.1: TRAINING CAPSNETS VIA ACTIVE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Mercedes E. Paoletti; University of Extremadura
         Juan M Haut; University of Extremadura
         Javier Plaza; University of Extremadura
         Antonio Plaza; University of Extremadura
MO2.R5.2: DIMENSIONALITY REDUCTION WITH WEIGHTED K-MEANS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Michael Wong; Kennesaw State University
         Chih-Cheng Hung; Kennesaw State University
MO2.R5.3: STATISTICAL PERSPECTIVE OF SOM AND CSOM FOR HYPER-SPECTRAL IMAGE CLASSIFICATION
         Srivatsa Mallapragada; Kennesaw State University
         Chih-Cheng Hung; Kennesaw State University
MO2.R5.4: HYPERSPECTRAL BAND SELECTION WITHIN A DEEP REINFORCEMENT LEARNING FRAMEWORK
         Andreas Michel; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
         Wolfgang Gross; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
         Fabian Schenkel; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
         Wolfgang Middelmann; Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
MO2.R5.5: SUPERPIXEL-LEVEL CONSTRAINT REPRESENTATION FOR HYPERSPECTRAL IMAGERY CLASSIFICATION
         Haoyang Yu; Dalian Maritime University
         Xiao Zhang; Dalian Maritime University
         Meiping Song; Dalian Maritime University
         Jiaochan Hu; Dalian Maritime University
         Lianru Gao; Chinese Academy of Sciences
MO2.R5.6: SELF-PACED LEARNING WITH SUPERPIXELWISE FEATURES FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Xiaoxiao Tai; China University of Petroleum (East China)
         Guangxing Wang; China University of Petroleum (East China)
         Lirong Han; China University of Petroleum (East China)
         Xiaoyu Zhang; China University of Petroleum (East China)
         Peng Ren; China University of Petroleum (East China)
MO2.R5.7: MULTISCALE CONVOLUTION NETWORK WITH REGION-BASED MAX VOTING FOR HYPERSPECTRAL IMAGES CLASSIFICATION
         Xuming 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; Ministry of Environmental protection of China
MO2.R5.8: IMPROVED LOCAL COVARIANCE MATRIX REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Xinyu Zhang; Central China Normal University
         Yantao Wei; Central China Normal University
         Huang Yao; Central China Normal University
         Yicong Zhou; University of Macau
MO2.R5.9: HYPERSPECTRAL IMAGE CLASSIFICATION VIA OBJECT-ORIENTED SEGMENTATION-BASED SEQUENTIAL FEATURE EXTRACTION AND RECURRENT NEURAL NETWORK
         Andong Ma; Texas A&M University
         Anthony M. Filippi; Texas A&M University
MO2.R5.10: 2D-SSA BASED MULTISCALE FEATURE FUSION FOR FEATURE EXTRACTION AND DATA CLASSIFICATION IN HYPERSPECTRAL IMAGERY
         Hang Fu; China University of Petroleum (East China)
         Genyun Sun; China University of Petroleum (East China)
         Jinchang Ren; University of Strathclyde
         Jamie Zabalza; University of Strathclyde
         Aizhu Zhang; China University of Petroleum (East China)
         Yanjuan Yao; Ministry of Environmental protection of China
MO2.R5.11: MULTISCALE FEATURE EXTRACTION WITH GAUSSIAN CURVATURE FILTER FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Qiaobo Hao; Hunan University
         Shutao Li; Hunan University
         Leyuan Fang; Hunan University
         Xudong Kang; Hunan University