FR1.M4.4
Depth Separable architecture for Sentinel-5P Super-Resolution
Hyam Omar Ali, Romain Abraham, Bruno Galerne, Université d'Orléans, France
Session:
FR1.M4: Hyperspectral Image Quality Improvement Oral
Track:
Data Analysis
Location:
Room M4
Presentation Time:
Friday, 8 August, 08:45 - 09:00
Presentation
Discussion
Resources
No resources available.
Session FR1.M4
FR1.M4.1: TENSOR LOW-RANK AND NOISE INTENSITY AWARE HYPERSPECTRAL IMAGE DENOISING
Chun-Zhong Li, Shuo-Bing Zhou, Yang-Yang Kou, Anhui University of Finance and Economics, China
FR1.M4.2: SPATIO-SPECTRAL REGULARIZATION AIDED BY GRAPH MODELINGS FOR HYPERSPECTRAL IMAGE DENOISING
Shingo Takemoto, Shunsuke Ono, Institute of Science Tokyo, Japan
FR1.M4.3: HYPERSPECTRAL MIXED NOISE REMOVAL VIA DEEP SPECTRAL PRIORS
Ruobing Zhang, Lianru Gao, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Marina Ljubenovic, Veles Sense, Serbia; Lina Zhuang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
FR1.M4.4: Depth Separable architecture for Sentinel-5P Super-Resolution
Hyam Omar Ali, Romain Abraham, Bruno Galerne, Université d'Orléans, France
FR1.M4.5: TOWARD REAL-WORLD HYPERSPECTRAL IMAGE SUPER-RESOLUTION
Pawel Kowaleczko, KP Labs / Warsaw University of Technology, Poland; Maciej Ziaja, Silesian University of Technology / KP Labs, Poland; Zoltan Bartalis, European Space Agency, Italy; Michal Kawulok, Silesian University of Technology / KP Labs, Poland
Resources
No resources available.