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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-14.9

Superpixel Based Low-Rank Sparse Unmixing for Hyperspectral remote sensing image

Fan Li, Nanchang Institute of Technology, China; Bingkun Liang, Sun Yat-Sen University, China; Shaoquan Zhang, Chengzhi Deng, Zhaoming Wu, Shengqian Wang, Nanchang Institute of Technology, China
Session:
Advanced Methods of Hyperspectral Image Unmixing
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 11:40-11:45 (UTC)
Tue, 13 Jul, 13:40-13:45 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:40-19:45 China Standard Time (UTC +8)
Tue, 13 Jul, 07:40-07:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Behnood Rasti, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and Meng Ding, University of Electronic Science and Technology of China
Session Manager:
Gonzalo Raimundo Luzardo Morocho
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Session TU2.MM-14
TU2.MM-14.1: BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS
Behnood Rasti, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany; Bikram Koirala, Paul Scheunders, University of Antwerp (CDE), Belgium; Pedram Ghamisi, Richard Gloaguen, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany
TU2.MM-14.2: Enhancing Reweighted Low-Rank Representation for Hyperspectral Image Unmixing
Wu-Chao Di, Jie Huang, Jin-Ju Wang, Ting-Zhu Huang, University of Electronic Science and Technology of China, China
TU2.MM-14.3: SPECTRAL UNMIXING USING DEEP CONVOLUTIONAL ENCODER-DECODER
Behnood Rasti, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology, Germany; Bikram Koirala, Paul Scheunders, University of Antwerp (CDE), Belgium; Pedram Ghamisi, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology, Germany
TU2.MM-14.4: FACTOR-REGULARIZED NONNEGATIVE TENSOR DECOMPOSITION FOR BLIND HYPERSPECTRAL UNMIXING
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Jie Lin, University of Electronic Science and Technology of China, China; Jing-Hua Yang, Macau University of Science and Technology, China
TU2.MM-14.5: A UNION FRAMEWORK WITH SPARSE TOPIC RELAXION AND GROUP CLUSTERING FOR HYPERSPECTRAL UNMIXING
Linlin Wang, Qiqi Zhu, Wen Zeng, Qingfeng Guan, China University of Geosciences, China
TU2.MM-14.6: A PENALIZATION-BASED NMF APPROACH FOR HYPERSPECTRAL UNMIXING ADDRESSING SPECTRAL VARIABILITY WITH AN ADDITIVELY-TUNED MIXING MODEL
Salah Eddine Brezini, Yannick Deville, Institut de Recherche en Astrophysique et Planétologie, France; Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Abdelaziz Ouamri, Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf, Algeria
TU2.MM-14.7: INFLUENCE OF THE DARKEST PIXEL ON ENDMEMBERS INITIALIZATION
Parasuram Yadav Palla, Amba Shetty, Raghavendra BS, Narasimhadhan AV, National Institute of Technology Karnataka, India
TU2.MM-14.8: Low-Rank Subspace Unmixing of Remotely Sensed Hyperspectral Image
Quan You, Fan Li, Shaoquan Zhang, Shengqian Wang, Chengzhi Deng, Chenguang Xu, Nanchang Institute of Technology, China
TU2.MM-14.9: Superpixel Based Low-Rank Sparse Unmixing for Hyperspectral remote sensing image
Fan Li, Nanchang Institute of Technology, China; Bingkun Liang, Sun Yat-Sen University, China; Shaoquan Zhang, Chengzhi Deng, Zhaoming Wu, Shengqian Wang, Nanchang Institute of Technology, China
TU2.MM-14.10: WEAKLY SUPERVISED CONVOLUTIONAL NEURAL NETWORKS FOR HYPERSPECTRAL UNMIXING
Jiayu Bai, Ruyi Feng, Lizhe Wang, China University of Geosciences, China; Yanfei Zhong, Liangpei Zhang, Wuhan University, China

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