TU4.R2.1

PANSHARPENING BY EFFICIENT AND FAST UNSUPERVISED TARGET-ADAPTIVE CNN

Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, University Federico II, Italy; Giuseppe Scarpa, University Parthenope, Italy
Session:
TU4.R2: Pansharpening Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Tue, 18 Jul, 15:45 - 15:57 Pacific Time (UTC -7)
Session Co-Chairs:
Giuseppe Scarpa, University Parthenope and Giuseppe Guarino, University Federico II
Session Manager:
Srashti Singh
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Session TU4.R2
TU4.R2.1: PANSHARPENING BY EFFICIENT AND FAST UNSUPERVISED TARGET-ADAPTIVE CNN
Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, University Federico II, Italy; Giuseppe Scarpa, University Parthenope, Italy
TU4.R2.2: CONSISTENCY AND AMBIGUITIES OF QUALITY NO REFERENCE METRIC FOR PANSHARPENING
Paul Aimé, Lucas Drumetz, IMT Atlantique, France; Mauro Dalla Mura, Université Grenoble Alpes, France; Touria Bajjouk, Institut français de recherche pour l'exploitation de la mer, France; René Garello, IMT Atlantique, France
TU4.R2.3: PANSHARPENING WITH DOUBLE DEEP CNN DENOISER PRIORS
Pengfei Liu, Jiahui Liu, Nanjing University of Posts and Telecommunications, China
TU4.R2.4: MULTISPECTRAL PANSHARPENING BASED ON HIGH-PASS MODULATION INJECTION MODEL WITH DIFFERENCE FACTOR
Yiyang Su, Hongyu Yao, Peng Wang, Nanjing University of Aeronautics and Astronautics, China; Xiwang Zhang, Henan University, China; Jue Wang, University of California, San Diego, China
TU4.R2.5: A NO-REFERENCE SPECTRAL QUALITY ASSESSMENT METHOD FOR MULTISPECTRAL PANSHARPENING
Jingying Wu, Xu Li, Baoguo Wei, Lixin Li, Northwestern Polytechnical University, China
Resources
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