TU4.T06: Hyperspectral Noise Reduction

Session Type: Oral
Time: Tuesday, July 23, 15:40 - 17:20
Location: Room 110
Session Chairs: Yongqiang Zhao, Northwestern Polytechnical University and Mario Parente, University of Massachusetts
 
[View Video] TU4.T06.1: NOISE REDUCTION FOR HYPERSPECTRAL IMAGES BASED ON STRUCTURAL SPARSE AND LOW-RANK MATRIX DECOMPOSITION
         Qian Li; University of Science and Technology of China
         Zhenbo Lu; University of Science and Technology of China
         Qingbo Lu; University of Science and Technology of China
         Houqiang Li; University of Science and Technology of China
         Weiping Li; University of Science and Technology of China
 
[View Video] TU4.T06.2: MT-OMP FOR HYPERSPECTRAL IMAGERY DENOISING WITH MODEL PARAMETER ESTIMATION
         Minchao Ye; Zhejiang University
         Yuntao Qian; Zhejiang University
         Qi Wang; Zhejiang University
 
[View Video] TU4.T06.3: NOISE REDUCTION OF HYPERSPECTRAL IMAGERY BASED ON NONLOCAL TENSOR FACTORIZATION
         Danping Liao; Zhejiang University
         Minchao Ye; College of computer science, Zhejiang University
         Sen Jia; College of Computer Science and Software Engineering, Shenzhen University
         Yuntao Qian; Zhejiang University
 
[View Video] TU4.T06.4: INTEGRATING ANOMALY DETECTION TO SPATIAL PREPROCESSING FOR ENDMEMBER EXTRACTION OF HYPERSPECTRAL IMAGES
         Alp Ertürk; Kocaeli University Laboratory of Image and Signal Processing (KULIS)
         Davut Çeşmeci; Kocaeli University Laboratory of Image and Signal Processing (KULIS)
         Deniz Gerçek; Kocaeli University Laboratory of Image and Signal Processing (KULIS)
         Mehmet Kemal Güllü; Kocaeli University Laboratory of Image and Signal Processing (KULIS)
         Sarp Ertürk; Kocaeli University Laboratory of Image and Signal Processing (KULIS)
 
[View Video] TU4.T06.5: HYPERSPECTRAL IMAGE DENOISING VIA SPARSITY AND LOW RANK
         Yongqiang Zhao; Northwestern Polytechnical University
         Jinxiang Yang; Northwestern Polytechnical University