MO4.R11: Data Fusion Contest 2026
Monday, 10 August, 16:15 - 17:30
Location: Cabinet
Session Type: Oral
Track: Theory and Techniques
Mon, 10 Aug, 16:15 - 16:30

MO4.R11.1: FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks

Getnet Demil, University of oulu, Finland; Muhammad Farhan Humayun, Tomi Westerlund, Jukka Heikkonen, University of Turku, Finland; Mourad Oussalah, University of oulu, Finland
Mon, 10 Aug, 16:30 - 16:45

MO4.R11.2: TRISAR: Self-Supervised Triplet Metric Learning for Temporal SAR Interpretation

Jamil József Ghazal, Vera Könyves, HUN-REN Institute for Computer Science and Control (SZTAKI), Hungary; Jung András, Faculty of Informatics, Eötvös Loránd University (ELTE), Hungary
Mon, 10 Aug, 16:45 - 17:00

MO4.R11.3: T-SAR-JEPA: SELF-SUPERVISED TEMPORAL ANOMALY DETECTION IN SAR AMPLITUDE STACKS VIA LATENT PREDICTION

Kerod Woldesenbet, Independent Researcher, United States; Abem Woldesenbet, Dakota State University, United States
Mon, 10 Aug, 17:00 - 17:15

MO4.R11.4: Phase Gradient Voting: Unwrap-Free Deformation Screening for Small-Satellite X-Band InSAR Stacks

Yasuhito Nagase, Josaphat Tetuko Sri Sumantyo, Chiba University, Japan