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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-2.6

HYPERSPECTRAL IMAGE SUPER-RESOLUTION BASED ON MULTISCALE RESIDUAL BLOCK AND MULTILEVEL FEATURE FUSION

Gang Yu, Feng Zhang, Ting Hu, Wei Li, Ran Tao, Beijing Institute of Technology, China
Session:
Deep Learning Based Feature Extraction
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 09:45-10:00 (UTC)
Tue, 13 Jul, 11:45-12:00 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 17:45-18:00 China Standard Time (UTC +8)
Tue, 13 Jul, 05:45-06:00 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Liangpei Zhang, Wuhan University and Luis Gòmez-Chova, Universidad de València
Session Manager:
Alexandru Neculai
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Session TU1.O-2
TU1.O-2.1: GENERALIZED SCALABLE NEIGHBORHOOD COMPONENT ANALYSIS FOR SINGLE AND MULTI-LABEL REMOTE SENSING IMAGE CHARACTERIZATION
Jian Kang, School of Electronic and Information Engineering, Soochow University, China; Ruben Fernandez-Beltran, Institute of New Imaging Technologies, University Jaume I, Spain; Antonio Plaza, Hyperspectral Computing Laboratory, University of Extremadura, Spain
TU1.O-2.2: MOATNET: REGISTRATION FOR MULTI-TEMPORAL OPTICAL REMOTE SENSING IMAGES USING DEEP CONVOLUTIONAL FEATURES
Chao Li, Yanan You, Jingyi Cao, Wenli Zhou, Beijing University of Posts and Telecommunications, China
TU1.O-2.3: HYPERSPECTRAL IMAGE DENOISING BASED ON MULTI-STREAM DENOISING NETWORK
Yan Gao, Feng Gao, Junyu Dong, Ocean University of China, China
TU1.O-2.4: LSTM-ADVERSARIAL AUTOENCODER FOR SPECTRAL FEATURE LEARNING IN HYPERSPECTRAL ANOMALY DETECTION
Tongbin Ouyang, Jinshen Wang, Xinyue Zhao, Shujie Wu, Beihang University, China
TU1.O-2.5: GRAPH REGULARIZED AUTOENCODER BASED FEATURE EXTRACTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Xiaotian Fan, Jingzhou Chen, Yuntao Qian, Zhejiang University, China
TU1.O-2.6: HYPERSPECTRAL IMAGE SUPER-RESOLUTION BASED ON MULTISCALE RESIDUAL BLOCK AND MULTILEVEL FEATURE FUSION
Gang Yu, Feng Zhang, Ting Hu, Wei Li, Ran Tao, Beijing Institute of Technology, China

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