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

MO2.R5: Hyperspectral Image Classification I

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 Summer Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Antonio Plaza, University of Extremadura and Fabio Pacifici, Maxar
Session Managers: Vanessa Núñez and Shivam Pande
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
14:30-14:40 (UTC)
22:30-22:40 (UTC +8)
16:30-16:40 (UTC +2)
07:30-07:40 (UTC -7)

MO2.R5.1: Training CapsNets via Active Learning for Hyperspectral Image classification
Mercedes E. Paoletti, Juan M Haut, Javier Plaza, Antonio Plaza, University of Extremadura, Spain
14:40-14:50 (UTC)
22:40-22:50 (UTC +8)
16:40-16:50 (UTC +2)
07:40-07:50 (UTC -7)

MO2.R5.2: DIMENSIONALITY REDUCTION WITH WEIGHTED K-MEANS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Michael Wong, Chih-Cheng Hung, Kennesaw State University, United States
14:50-15:00 (UTC)
22:50-23:00 (UTC +8)
16:50-17:00 (UTC +2)
07:50-08:00 (UTC -7)

MO2.R5.3: STATISTICAL PERSPECTIVE OF SOM AND CSOM FOR HYPER-SPECTRAL IMAGE CLASSIFICATION
Srivatsa Mallapragada, Chih-Cheng Hung, Kennesaw State University, United States
15:00-15:10 (UTC)
23:00-23:10 (UTC +8)
17:00-17:10 (UTC +2)
08:00-08:10 (UTC -7)

MO2.R5.4: HYPERSPECTRAL BAND SELECTION WITHIN A DEEP REINFORCEMENT LEARNING FRAMEWORK
Andreas Michel, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany
15:10-15:20 (UTC)
23:10-23:20 (UTC +8)
17:10-17:20 (UTC +2)
08:10-08:20 (UTC -7)

MO2.R5.5: SUPERPIXEL-LEVEL CONSTRAINT REPRESENTATION FOR HYPERSPECTRAL IMAGERY CLASSIFICATION
Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Dalian Maritime University, China; Lianru Gao, Chinese Academy of Sciences, China
15:20-15:30 (UTC)
23:20-23:30 (UTC +8)
17:20-17:30 (UTC +2)
08:20-08:30 (UTC -7)

MO2.R5.6: SELF-PACED LEARNING WITH SUPERPIXELWISE FEATURES FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Xiaoxiao Tai, Guangxing Wang, Lirong Han, Xiaoyu Zhang, Peng Ren, China University of Petroleum (East China), China
15:30-15:40 (UTC)
23:30-23:40 (UTC +8)
17:30-17:40 (UTC +2)
08:30-08:40 (UTC -7)

MO2.R5.7: MULTISCALE CONVOLUTION NETWORK WITH REGION-BASED MAX VOTING FOR HYPERSPECTRAL IMAGES CLASSIFICATION
Xuming Zhang, Aizhu Zhang, Genyun Sun, China University of Petroleum (East China), China; Yanjuan Yao, Ministry of Environmental protection of China, China
15:40-15:50 (UTC)
23:40-23:50 (UTC +8)
17:40-17:50 (UTC +2)
08:40-08:50 (UTC -7)

MO2.R5.8: Improved Local Covariance Matrix Representation For Hyperspectral Image Classification
Xinyu Zhang, Yantao Wei, Huang Yao, Central China Normal University, China; Yicong Zhou, University of Macau, China
15:50-16:00 (UTC)
23:50-00:00 (UTC +8)
17:50-18:00 (UTC +2)
08:50-09:00 (UTC -7)

MO2.R5.9: HYPERSPECTRAL IMAGE CLASSIFICATION VIA OBJECT-ORIENTED SEGMENTATION-BASED SEQUENTIAL FEATURE EXTRACTION AND RECURRENT NEURAL NETWORK
Andong Ma, Anthony M. Filippi, Texas A&M University, United States
16:00-16:10 (UTC)
00:00-00:10 (UTC +8)
18:00-18:10 (UTC +2)
09:00-09:10 (UTC -7)

MO2.R5.10: 2D-SSA BASED MULTISCALE FEATURE FUSION FOR FEATURE EXTRACTION AND DATA CLASSIFICATION IN HYPERSPECTRAL IMAGERY
Hang Fu, Genyun Sun, China University of Petroleum (East China), China; Jinchang Ren, Jamie Zabalza, University of Strathclyde, United Kingdom; Aizhu Zhang, China University of Petroleum (East China), China; Yanjuan Yao, Ministry of Environmental protection of China, China
16:10-16:20 (UTC)
00:10-00:20 (UTC +8)
18:10-18:20 (UTC +2)
09:10-09:20 (UTC -7)

MO2.R5.11: MULTISCALE FEATURE EXTRACTION WITH GAUSSIAN CURVATURE FILTER FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Qiaobo Hao, Shutao Li, Leyuan Fang, Xudong Kang, Hunan University, China