TU4.R13.5

Deep Learning based Data Augmentation for Restoring SAR Images

Hossein Aghababaei, University of Twente, Netherlands; Giampaolo Ferraioli, Sergio Vitale, Università degli Studi di Napoli Parthenope, Italy
Session:
TU4.R13: DL Paradigm for SAR Image Restoration: Current Methodologies and Future Trends II Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Tue, 18 Jul, 16:33 - 16:45 Pacific Time (UTC -7)
Session Co-Chairs:
Sergio Vitale, Università degli Studi di Napoli Parthenope and Hossein Aghababaei, University of Twente and Giampaolo Ferraioli, Università di Napoli Parthenope
Session Manager:
Ge Jiang
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Session TU4.R13
TU4.R13.1: MULTICHANNEL FORWARD-LOOKING SAR AZIMUTH SUPERRESOLUTION BASED ON CYCLEGAN
Ziwen Wang, Wenchao Li, Rui Chen, Junjie Wu, Jianyu Yang, University of Electronic Science and Technology of China, China
TU4.R13.2: UNSUPERVISED SAR DESPECKLING BASED ON DIFFUSION MODEL
Siyao Xiao, Libing Huang, Shunsheng Zhang, University of Electronic Science and Technology of China, China
TU4.R13.3: DEEP UNFOLDING NETWORK FOR SPARSE SAR IMAGING BASED ON COMPOUND REGULARIZATION
Guoru Zhou, Zhongqiu Xu, Yizhe Fan, Zhe Zhang, Bingchen Zhang, Yirong Wu, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU4.R13.4: DEEP LEARNING POWERED NON-LOCAL SPECKLE FILTERING OF SENTINEL-1 IMAGERY AND ITS POTENTIAL FOR HUMANITARIAN ACTION
Niklas Jaggy, Getachew Workineh Gella, Zahra Dabiri, Lorenz Wendt, Stefan Lang, Paris-Lodron University Salzburg, Austria; Andreas Braun, University of Tuebingen, Germany
TU4.R13.5: Deep Learning based Data Augmentation for Restoring SAR Images
Hossein Aghababaei, University of Twente, Netherlands; Giampaolo Ferraioli, Sergio Vitale, Università degli Studi di Napoli Parthenope, Italy
Resources
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