IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

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

Session:

Advanced Methods of Hyperspectral Image Unmixing

Track:

Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:

Tue, 13 Jul, 11:45-11:50 (UTC)
Tue, 13 Jul, 13:45-13:50 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:45-19:50 China Standard Time (UTC +8)
Tue, 13 Jul, 07:45-07:50 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

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

WEAKLY SUPERVISED CONVOLUTIONAL NEURAL NETWORKS FOR HYPERSPECTRAL UNMIXING

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