2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

FR1.R16.10

Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Politecnico di Torino, Italy
Session:
Processing and Imaging Techniques V
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 2 Oct, 13:30-13:40 (UTC)
Fri, 2 Oct, 21:30-21:40 China Standard Time (UTC +8)
Fri, 2 Oct, 15:30-15:40 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 06:30-06:40 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Valeria Belloni, Sapienza University of Rome and Alejandro Frery, Victoria University of Wellington
Session Managers:
Elena Donini and Mirnayani M

Presentation

Discussion

Resources

Session

FR1.R16.1: A non-linearly moving ship autofocus method under hybrid coordinate system
Guofei Li, Gang Zhang, Hanlin Qin, Yi Liang, Xidian University, China
FR1.R16.2: SAR TARGET CLASSIFICATION WITH LIMITED DATA VIA DATA DRIVEN ACTIVE LEARNING
Yue Zhou, Xue Jiang, Shanghai Jiao Tong University, China; Zhou Li, Beijing Institute of Remote Sensing Information, China; Xingzhao Liu, Shanghai Jiao Tong University, China
FR1.R16.3: EFFICIENT INSAR IMAGING BASED ON FREQUENCY-DOMAIN BACK PROJECTION ALGORITHM
Yue Wu, Shunjun Wei, Mou Wang, Jiadian Liang, Xiaoling Zhang, University of Electronic Science and Technology of China, China
FR1.R16.4: ISAR COMPRESSIVE SENSING IMAGING USING CONVOLUTION NEURAL NETWORK WITH INTERPRETABLE OPTIMIZATION
Jiadian Liang, Shunjun Wei, Mou Wang, Hao Su, Jun Shi, Xiaoling Zhang, University of Electronic Science and Technology of China, China
FR1.R16.5: AN ANALYTICAL FRAMEWORK FOR UNDERSTANDING PERSISTENT SCATTERER INCIDENCE IN INSAR IMAGERY WITH BANDWIDTH AND WAVELENGTH
Stacey Huang, Howard Zebker, Stanford University, United States
FR1.R16.6: HIGH-RESOLUTION OPTICAL AND SAR IMAGE REGISTRATION USING LOCAL SELF-SIMILAR DESCRIPTOR BASED ON EDGE FEATURE
Yiqun Pan, Ling Tong, Yuxia Li, Fanghong Xiao, Haoyu Wang, University of Electronic Science and Technology of China, China
FR1.R16.7: COSMO-SKYMED RANGE MEASUREMENTS FOR DISPLACEMENT MONITORING USING AMPLITUDE PERSISTENT SCATTERERS
Valeria Belloni, Marco Di Tullio, Roberta Ravanelli, Francesca Fratarcangeli, Sapienza University of Rome, Italy; Andrea Nascetti, KTH Royal Institute of Technology, Sweden; Mattia Crespi, Sapienza University of Rome, Italy
FR1.R16.8: A ROBUST AMBIGUITY REMOVAL METHOD FOR STAGGERED SAR
Xingxing Liao, University of Electronic Science and Technology of China, China; Mingming Xu, Beijing Institute of Spacecraft System Engineering; Beijing Institute of Technology, China; Kun Li, Beijing Institute of Spacecraft System Engineering, China; Zhe Liu, University of Electronic Science and Technology of China, China
FR1.R16.9: SHIP DETECTION IN SAR IMAGES USING CONVOLUTIONAL VARIATIONAL AUTOENCODERS
Nuno Ferreira, Margarida Silveira, Instituto Superior Técnico - Universidade de Lisboa, Portugal
FR1.R16.10: Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Politecnico di Torino, Italy
FR1.R16.11: REMOTE SENSING DATA AUGMENTATION THROUGH ADVERSARIAL TRAINING
Ning Lv, Hongxiang Ma, Chen Chen, Qingqi Pei, Xidian University, China; Yang Zhou, Fenglin Xiao, Ji Li, Ministry of water resources of China, China