TH1.R14: SAR and Machine Learning
Thu, 20 Jul, 08:30 - 09:45 Pacific Time (UTC -7)
Location: Room 14
Session Type: Oral
Session Chair: Ronny Hänsch, German Aerospace Center
Track: AI and Big Data
Thu, 20 Jul, 08:30 - 08:42 Pacific Time (UTC -7)

TH1.R14.1: SALIENCY-GUIDED ATTENTION-BASED FEATURE PYRAMID NETWORK FOR SHIP DETECTION IN SAR IMAGES
Tianwen Zhang, Xiaoling Zhang, Zikang Shao, University of Electronic Science and Technology of China, China
Thu, 20 Jul, 08:42 - 08:54 Pacific Time (UTC -7)

TH1.R14.2: A HIGH ACCURACY DETECTION NETWORK FOR ROTATED MULTI-CLASS SAR SHIP DETECTION
Zikang Shao, Xiaoling Zhang, University of Electronic Science and Technology of China, China
Thu, 20 Jul, 08:54 - 09:06 Pacific Time (UTC -7)

TH1.R14.3: Automatic simulation of SAR images: comparing a deep-learning based method to a hybrid method.
Nathan Letheule, Flora Weissgerber, Elise Colin, ONERA, France; Sylvain Lobry, LIPADE, Université de Paris, Paris, France, France
Thu, 20 Jul, 09:06 - 09:18 Pacific Time (UTC -7)

TH1.R14.4: IS REALISTIC SYNTHETIC INSAR DATA GENERATION FEASIBLE ON LOW DATA REGIMES?
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Orion Lab, Institute for Astronomy, Astrophysics, Space Applications, and Remote Sensing, National Observatory of Athens, Greece; Dimitrios Michail, Harokopio University of Athens, Greece
Thu, 20 Jul, 09:18 - 09:33 Pacific Time (UTC -7)

TH1.R14.D: Discussion