International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-9: Deep Learning for Hyperspectral Image Classification II
Tue, 13 Jul, 11:00 - 12:10 (UTC)
Tue, 13 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Tue, 13 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Chair: Wei Wei, Northwestern Polytechnical University
Session Manager: Thimm Zwiener
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TU2.MM-9.1: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON DENSE CONVOLUTION AND CONDITIONAL RANDOM FIELD

Chunhui Zhao, Harbin University of Engineering, China; Boao Qin, Shou Feng, Tong Li, Yiming Yan, Harbin Engineering University, China

TU2.MM-9.2: MIRROR MOSAICKING BASED REDUCED COMPLEXITY APPROACH FOR THE CLASSIFICATION OF HYPERSPECTRAL IMAGES

S N Chaudhri, N S Rajput, K P Singh, IIT(BHU), India; D. Singh, IIT, Roorkee, INDIA, India

TU2.MM-9.3: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON SPECTRAL GRAPH AND BIDIRECTIONAL LSTM NETWORK

Xu Tang, Qionglin Zhou, Fanbo Meng, Xidian University, China; Xiao Han, Geovis Spatial Technology Co.,Ltd, China; Dalei Li, Science and Technology on Electro-optic Control Laboratory, China; Xiangrong Zhang, Licheng Jiao, Xidian University, China

TU2.MM-9.4: Deep Diffusion Processes for Active Learning of Hyperspectral Images

Abiy Tasissa, Tufts University, United States; Duc Nguyen, University of Maryland, United States; James Murphy, Tufts University, United States

TU2.MM-9.5: ENSEMBLE CNN WITH ENHANCED FEATURE SUBSPACES FOR IMBALANCED HYPERSPECTRAL IMAGE CLASSIFICATION

Qinzhe Lv, Wei Feng, Yinghui Quan, xidian university, China; Qiang Li, Northwestern Polytechnical University, China; Gabriel Dauphin, University Paris XIII, France; Lianru Gao, Chinese Academy of Sciences, China; Guoping Zhao, Shaan Xi Academy of Forestry, China; Mengdao Xing, Xidian University, China

TU2.MM-9.6: Boosting CNN for Hyperspectral Image Classification

Haoyu Zhang, Yushi Chen, Xin He, Harbin Institute of Technology, China; Xingliang Shen, Tianjin Navigation Instruments Research Institute, China

TU2.MM-9.7: HSGACN: HYPERSPECTRAL IMAGE CLASSIFICATION ALGORITHM BASED ON GRAPH CONVOLUTIONAL NETWORK

Yi Xiao, Siying Chen, Hao Wang, Zhengang Zhao, Tao Huang, Yuchen Liang, Jin Qin, Rong Ma, Zongyao Yin, Ruiqing Yan, Xianchuan Yu, Beijing Normal University, China

TU2.MM-9.8: META TRANSFER LEARNING FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION

Fei Zhou, Lei Zhang, Wei Wei, Northwestern Polytechnical University, China; Zongwen Bai, Yanan University, China; Yanning Zhang, Northwestern Polytechnical University, China

TU2.MM-9.10: A COMPARATIVE STUDY OF NOISE SENSITIVITY ON DIFFERENT HYPERSPECTRAL CLASSIFICATION METHODS

Congyu Li, Xinxin Liu, Xudong Kang, Shutao Li, Hunan University, China