TH1.R14: SAR and Machine Learning
Thu, 20 Jul, 08:30 - 09:45 Pacific Time (UTC -8)
Location: Room E
Session Type: Oral
Session Co-Chairs: Ronny Hänsch, German Aerospace Center and Kelsey Doerksen, University of Oxford
Session Manager: Ayoti Banerjee
Track: AI and Big Data
Thu, 20 Jul, 08:30 - 08:42 Pacific Time (UTC -8)

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 -8)

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 -8)

TH1.R14.3: Automatic simulation of SAR images: comparing a deep-learning based method to a hybrid method.
Nathan Letheule, Flora Weissgerber, ONERA, France; Sylvain Lobry, LIPADE, Université de Paris, Paris, France, France; Elise Colin, ONERA, France
Thu, 20 Jul, 09:06 - 09:18 Pacific Time (UTC -8)

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 - 09:30 Pacific Time (UTC -8)

TH1.R14.5: PRECIPITATION-TRIGGERED LANDSLIDE PREDICTION IN NEPAL USING MACHINE LEARNING AND DEEP LEARNING
Kelsey Doerksen, Yarin Gal, Freddie Kalaitzis, University of Oxford, United Kingdom; Cristian Rossi, Satellite Applications Catapult, United Kingdom; David Petit, Deimos Space, United Kingdom; Sihan Li, University of Sheffield, United Kingdom; Simon Dadson, University of Oxford, United Kingdom
Thu, 20 Jul, 09:30 - 09:45 Pacific Time (UTC -8)

TH1.R14.D: Discussion