International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-5: Advances in Image Denoising and Restoration
Wed, 14 Jul, 11:00 - 12:10 (UTC)
Wed, 14 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Wed, 14 Jul, 07:00 - 08:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs: Mauro Dalla Mura, Grenoble Institute of Technology and BIN ZHAO, UNIVERSITY OF ICELAND
Session Managers: Frederik Priem and Arvind Gauns
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

WE2.MM-5.1: HYPERSPECTRAL DENOISING VIA GLOBAL TENSOR RING DECOMPOSITION AND LOCAL UNSUPERVISED DEEP IMAGE PRIOR

Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, School of Mathematical Sciences, University of Electronic Science and Technology of China, China; Teng-Yu Ji, School of Mathematics and Statistics, Northwestern Polytechnical University, China; Tai-Xiang Jiang, School of Economic Information Engineering, Southwestern University of Finance and Economics, China

WE2.MM-5.2: A NEW DEEP HIERARCHY FOR UNDERWATER IMAGE RECONSTRUCTION

Yafei Song, Ganggang Dong, Xidian University, China

WE2.MM-5.3: CLOUD REMOVAL FOR SINGLE VISIBLE IMAGE BASED ON MODIFIED DARK CHANNEL PRIOR WITH MULTIPLE SCALE

Shaoqi Shi, Ye Zhang, Xinyu Zhou, Jin Cheng, Harbin Institute of Technology, China

WE2.MM-5.4: LEARNING A MODEL-BASED DEEP HYPERSPECTRAL DENOISER FROM A SINGLE NOISY HYPERSPECTRAL IMAGE

Guanyiman Fu, Fengchao Xiong, Shuyin Tao, Jianfeng Lu, Nanjing University of Science and Technology, China; Jun Zhou, Griffith University, Australia; Yuntao Qian, Zhejiang University, China

WE2.MM-5.5: Hyperspectral Image Super-Resolution via Multi-Domain Feature Learning

Qiang Li, Qi Wang, Xuelong Li, Northwestern Polytechnical University, China

WE2.MM-5.6: HYPERSPECTRAL IMAGE DENOISING WITH COLLABORATIVE TOTAL VARIATION AND LOW RANK REGULARIZATION

Lu Yang, Jinhuan Xu, Liang Xiao, Nanjing University of Science and Technology, China

WE2.MM-5.7: A PROPOSED FULLY CONSTRAINED LEAST SQUARES FOR SOLVING SPARSE ENDMEMBER FRACTIONS WITH LINEAR SPECTRAL MIXTURE MODEL

Cuicui Ji, Chongqing Jiaotong University, China; Xiaosong Li, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China; Jinying Wang, Piesat Information Technology Co., Ltd., China; Maolin Chen, Jianping Pan, Chongqing Jiaotong University, China

WE2.MM-5.8: NON-LOCAL MEANS LOW-RANK APPROXIMATION FOR HYPERSPECTRAL DENOISING

Bin Zhao, Jóhannes Rúnar Sveinsson, Magnus O. Ulfarsson, University of Iceland, Iceland; Jocelyn Chanussot, Université Grenoble Alpes; University of Iceland, Iceland