FR1.R1: Pansharpening and Superresolution III

Session Type: Oral
Time: Friday, July 27, 08:30 - 10:10
Location: Room 1D
Session Chair: Andrea Garzelli, Università di Siena
 
08:30 - 08:50
FR1.R1.1: A NEW PANSHARPENING METHOD WITH MULTI-SCALE STRUCTURE PERCEPTION
         Yu Pan; Northwestern Polytechnical University
         Xu Li; Northwestern Polytechnical University
         Ang Gao; Northwestern Polytechnical University
         Lixin Li; Northwestern Polytechnical University
         Shaohui Mei; Northwestern Polytechnical University
         Shigang Yue; University of Lincoln
 
08:50 - 09:10
FR1.R1.2: ROBUST SUPER-RESOLUTION IMAGE RECONSTRUCTION METHOD FOR GEOMETRICALLY DEFORMED REMOTE SENSING IMAGES
         Jing Qin; Montana State University
         Igor Yanovsky; California Institute of Technology
 
09:10 - 09:30
FR1.R1.3: BLOCK-BASED AND SEGMENTATION-BASED APPROACHES FOR COMPONENT SUBSTITUTION BASED HYPERSPECTRAL PANSHARPENING
         Sevcan Kahraman; Kocaeli University
         Gozdenur Yesİlyurt; Kocaeli University
         Alp Ertürk; Kocaeli University
         Sarp Ertürk; Kocaeli University
 
09:30 - 09:50
FR1.R1.4: SPATIAL RESOLUTION ENHANCEMENT OF OPTICAL IMAGES BASED ON TENSOR DECOMPOSITION
         Kuniaki Uto; Tokyo Institute of Technology
         Mauro Dalla Mura; Grenoble Institute of Technology
         Jocelyn Chanussot; Grenoble Institute of Technology
 
09:50 - 10:10
FR1.R1.5: FEATURE-LEVEL LOSS FOR MULTISPECTRAL PAN-SHARPENING WITH MACHINE LEARNING
         Xun Liu; Beijing Institute of Technology
         Chenwei Deng; Beijing Institute of Technology
         Baojun Zhao; Beijing Institute of Technology
         Jocelyn Chanussot; University of Grenoble Alpes