TH2.R15: Spatio-Temporal Deep Learning for Remote Sensing
Thursday, 13 August, 11:00 - 12:15
Location: Jefferson West
Session Type: Oral
Session Co-Chairs: Ronny Hänsch, DLR and Jacob Arndt, Oak Ridge National Laboratory
Track: AI and Big Data
Thu, 13 Aug, 11:00 - 11:15

TH2.R15.1: FREQUENCY-AWARE DEFORMABLE ATTENTION NETWORK FOR SWIR IMAGE CLOUD DETECTION

Nan Huang, Xinhao Xu, Feng Wang, Fudan University, China
Thu, 13 Aug, 11:15 - 11:30

TH2.R15.2: TOWARDS TEMPORAL-AWARE REMOTE SENSING: A DYNAMIC STATE-SPACE NETWORK WITH META-IN-CONTEXT LEARNING FOR ENERGY MONITORING

Rongchang Lu, Yaoxiang Zhang, Rongtian Nie, Yang Si, Jiayu Wang, Xin Hai, Qinghai University, China
Thu, 13 Aug, 11:30 - 11:45

TH2.R15.3: A SPATIALLY-AWARE PERTURBATION APPROACH FOR EXPLAINABLE FORECASTING OF VEGETATION INDICES FROM REMOTE SENSING IMAGES

Suchismita Dey, Monidipa Das, Indian Institute of Science Education and Research Kolkata, India
Thu, 13 Aug, 11:45 - 12:00

TH2.R15.4: FORECASTING MARITIME TRAFFIC PATTERNS: A DEEP LEARNING APPROACH USING SAR OBSERVATIONS

Bharat Jayaswal, Soumya K Ghosh, Indian Institute of Technology Kharagpur, India