17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TH5.V7.5

Multimodal hyperspectral unmixing via attention networks

Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Jocelyn Chanussot, Univ. Grenoble Alpes, France
Session:
Unmixing I Oral Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 7
Presentation Time:
Thu, 21 Jul, 20:50 - 21:05 Malaysia Time (UTC +8)
Thu, 21 Jul, 14:50 - 15:05 Central European Time (UTC +2)
Thu, 21 Jul, 12:50 - 13:05 UTC
Thu, 21 Jul, 08:50 - 09:05 Eastern Time (UTC -4)
Session Chair:
Lianru Gao, Aerospace Information Research Institute, Chinese Academy of Sciences
Session Manager:
Khe Kheng Kow
Presentation
Discussion
Resources
No resources available.
Session TH5.V7
TH5.V7.1: HYPERSPECTRAL UNMIXING WITH SPECTRAL VARIABILITY USING ENDMEMBER GUIDED PROBABILISTIC GENERATIVE DEEP LEARNING
Rosly Lyngdoh, Anand Sahadevan, Touseef Ahmad, Arundhati Misra, ISRO, India; Rucha Dave, Anand Agricultural University, India
TH5.V7.2: Dual Spatial Weighted Sparse Hyperspectral Unmixing
Yonggang Chen, Chengzhi Deng, Shaoquan Zhang, Fan Li, Ningyuan Zhang, Shengqian Wang, Nanchang Institute of Technology, China
TH5.V7.3: HYPERSPECTRAL UNMIXING POWERED BY DEEP IMAGE PRIORS AND DENOISING REGULARIZATION
Min Zhao, Jie Chen, Northwestern Polytechnical University, China
TH5.V7.4: ROBUST NONLINEAR UNMIXING FOR HYPERSPECTRAL IMAGES BASED ON AN EXTENDED MULTILINEAR MIXING MODEL
Minglei Li, Bin Wang, Fudan University, China; Bin Yang, Donghua University, China
TH5.V7.5: Multimodal hyperspectral unmixing via attention networks
Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Jocelyn Chanussot, Univ. Grenoble Alpes, France
TH5.V7.6: IMPROVING CLASSICAL APPROACH FOR FLARE PARAMETERS ESTIMATION FROM VIIRS NtL REMOTE SENSING DATA BY LINEAR AND NONLINEAR SPECTRAL UNMIXING METHODS
Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Farah Benharrats, Mohammed Amine Bouhlala, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria