FRP1.PA.5
Low-Rank Prior Guided Logging Data Completion and Feature Learning
瑞哲 张, Northwestern Polytechnical University, China; 妍 刘, China National Logging Corporation, China; 冠文 张, Northwestern Polytechnical University, China; 娟 张, China National Logging Corporation, China University of Petroleum (Beijing), China; 巍 周, Northwestern Polytechnical University, China
Session:
FRP1.PA: Scalable Learning Methods, Generative Modeling, and Data-Centric Remote Sensing Poster
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Fri, 14 Aug, 09:45 - 11:00
Session Co-Chairs:
Dalton Lunga, ORNL and Christopher Ummerle, University of the Bundeswehr Munich
Presentation
Discussion
Resources
No resources available.
Session FRP1.PA
FRP1.PA.1: SAR Adversarial Sample Generation Technique for AdvGAN
Shuo Yu, Dan Gao, Xiaofang Wu, Chunheng Liu, Academy of Military, China
FRP1.PA.2: SAMURAI - DENOISING RADAR IMAGES USING FEDERATED LEARNING
Joao Renato Ribeiro Manesco, Danilo Samuel Jodas, Rafael Goncalves Pires, Kelton Augusto Pontara Costa, Joao Paulo Papa, Sao Paulo State University, Brazil
FRP1.PA.3: DOMAIN ADAPTATION FOR DENOISING UNDER DOMAIN SHIFT IN HETEROGENEOUS WEATHER RADAR DATASETS
Joao Renato Ribeiro Manesco, Keltn Augusto Pontara Costa, Joao Paulo Papa, Sao Paulo State University, Brazil
FRP1.PA.4: Diffusion-Based optical-to-SAR Image Translation for Multimodal remote sensing
Anis Amziane, Luxembourg Institute of Science and Technology, Luxembourg; Joao Vinholi, Hydrosat, Luxembourg; Patrick Matgen, Marco Chini, Luxembourg Institute of Science and Technology, Luxembourg
FRP1.PA.5: Low-Rank Prior Guided Logging Data Completion and Feature Learning
瑞哲 张, Northwestern Polytechnical University, China; 妍 刘, China National Logging Corporation, China; 冠文 张, Northwestern Polytechnical University, China; 娟 张, China National Logging Corporation, China University of Petroleum (Beijing), China; 巍 周, Northwestern Polytechnical University, China
FRP1.PA.6: Super-Resolution of CASALS HyperHeight Data Cubes Using TerraSAR Synthetic Aperture Radar Side Information Via Generative Diffusion Models
Andres Ramirez-Jaime, Gonzalo Arce, Univerisity of Delaware, United States; Mateusz Kopytek, Krzysztof Okarma, West Pomeranian University of Technology, Poland
Contacts