International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-5: Deep Learning for Hyperspectral Image Classification I
Tue, 13 Jul, 08:30 - 10:00 (UTC)
Tue, 13 Jul, 10:30 - 12:00 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 16:30 - 18:00 China Standard Time (UTC +8)
Tue, 13 Jul, 04:30 - 06:00 Eastern Standard Time (UTC -4)
Session Chair: Xinyang Deng, Northwestern Polytechnical University
Session Manager: Robbe Neyns
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TU1.O-5.1: SPATIAL-SPECTRAL TENSOR GRAPH CONVOLUTIONAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Jin-Yu Yang, Heng-Chao Li, Ze-Chen Li, Tian-Yu Ma, Southwest Jiaotong University, China

TU1.O-5.2: CASCADE NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Shuai Fang, Wen Zhang, Jing Zhang, Hefei University of Technology, China; Yang Cao, University of Science and Technology of China, China; Weikai Shi, Macau University of Science and Technology, China

TU1.O-5.3: SELF-ATTENTION AND MUTUAL-ATTENTION FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION

Kai Huang, Xinyang Deng, Jie Geng, Wen Jiang, Northwestern Polytechnical University, China

TU1.O-5.4: AUTOMATIC DESIGN RECURRENT NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Jie Feng, Gaiqin Bai, Zizhuo Gao, Xiangrong Zhang, Xu Tang, Xidian University, China

TU1.O-5.5: A NOVEL CLASSIFICATION FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON MULTI-SCALE DENSE NETWORK

Hao Zhang, Haoyang Yu, Zhen Xu, Dalian Maritime University, China; Ke Zheng, Lianru Gao, Chinese Academy of Sciences, China

TU1.O-5.6: WATER RETRIEVAL EMBEDDED DEEP NETWORK FOR HYPERSPECTRAL IMAGE REFINED CLASSIFICATION

Xuejian Liang, Ye Zhang, Junping Zhang, Xinyuan Miao, Xinyu Zhou, Harbin Institute of Technology, China