FR1.R2.4

MULTIVIEW SIAMESE COLLABORATIVE NETWORK FOR HYPERSPECTRAL IMAGE UNMIXING

Zimo Yang, Lin Qi, Feng Gao, Junyan Lin, Ocean University of China, China
Session:
FR1.R2: Hyperspectral Imaging Unmixing and clustering Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Fri, 21 Jul, 09:06 - 09:18 Pacific Time (UTC -8)
Session Co-Chairs:
Chia-Hsiang Lin, National Cheng Kung University and Bikram Koirala, University of Antwerp
Session Manager:
HUMAIRA SANAM
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Session FR1.R2
FR1.R2.1: AN EXTENSIVE MULTISENSOR HYPERSPECTRAL BENCHMARK DATASETS OF INTIMATE MIXTURES OF MINERAL POWDERS
Bikram Koirala, University of Antwerp, Belgium; Behnood Rasti, Helmholtz Institute Freiberg for Resource Technology, Germany; Zakaria Bnoulkacem, University of Antwerp, Belgium; Andréa de Lima Ribeiro, Yuleika Madriz, Erik Herrmann, Helmholtz Institute Freiberg for Resource Technology, Germany; Arthur Gestels, Thomas De Kerf, Koen Janssens, Gunther Steenackers, University of Antwerp, Belgium; Richard Gloaguen, Helmholtz Institute Freiberg for Resource Technology, Germany; Paul Scheunders, University of Antwerp, Belgium
FR1.R2.2: MULTISCALE SPATIAL SPARSE UNMIXING FOR REMOTELY SENSED HYPERSPECTRAL IMAGERY
Jiajun Zheng, Nanchang Institute of Technology, China; Huqing Liang, GMC Building, China; Shaoquan Zhang, Fan Li, Pengfei Lai, Shengqian Wang, Chengzhi Deng, Nanchang Institute of Technology, China
FR1.R2.3: EFFICIENT BLIND HYPERSPECTRAL UNMIXING WITH GLOBAL SPATIAL INFORMATION BASED ON SWIN TRANSFORMER
Yun Wang, Shuaikai Shi, Jie Chen, Northwestern Polytechnical University, China
FR1.R2.4: MULTIVIEW SIAMESE COLLABORATIVE NETWORK FOR HYPERSPECTRAL IMAGE UNMIXING
Zimo Yang, Lin Qi, Feng Gao, Junyan Lin, Ocean University of China, China
FR1.R2.5: UNSUPERVISED HYPERSPECTRAL IMAGE DOMAIN ADAPTATION THROUGH UNMIXING-BASED DOMAIN ALIGNMENT
Razieh Kaviani Baghbaderani, University of Tennessee, Knoxville, United States; Ying Qu, Beijing Normal University, China; Hairong Qi, University of Tennessee, Knoxville, United States
Resources
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