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

Session:
Hyperspectral Image Classification I

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Mon, 28 Sep, 15:00-15:10 (UTC)
Mon, 28 Sep, 23:00-23:10 China Standard Time (UTC +8)
Mon, 28 Sep, 17:00-17:10 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 08:00-08:10 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Antonio Plaza, University of Extremadura and Fabio Pacifici, Maxar
Session Managers:
Vanessa Núñez and Shivam Pande

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Session

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
MO2.R5.2: DIMENSIONALITY REDUCTION WITH WEIGHTED K-MEANS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Michael Wong, Chih-Cheng Hung, Kennesaw State University, United States
MO2.R5.3: STATISTICAL PERSPECTIVE OF SOM AND CSOM FOR HYPER-SPECTRAL IMAGE CLASSIFICATION
Srivatsa Mallapragada, Chih-Cheng Hung, Kennesaw State University, United States
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
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
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
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
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
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
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
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