3 papers
cs.CV2026
A Tutorial on ALOS2 SAR Utilization: Dataset Preparation, Self-Supervised Pretraining, and Semantic Segmentation
Nevrez Imamoglu, Ali Caglayan, Toru Kouyama
Masked auto-encoders (MAE) and related approaches have shown promise for satellite imagery, but their application to synthetic aperture radar (SAR) remains limited due to challenge…
cs.CV2026
Enhanced LULC Segmentation via Lightweight Model Refinements on ALOS-2 SAR Data
Ali Caglayan, Nevrez Imamoglu, Toru Kouyama
This work focuses on national-scale land-use/land-cover (LULC) semantic segmentation using ALOS-2 single-polarization (HH) SAR data over Japan, together with a companion binary wat…
cs.CV2025
SAR-W-MixMAE: SAR Foundation Model Training Using Backscatter Power Weighting
Ali Caglayan, Nevrez Imamoglu, Toru Kouyama
Foundation model approaches such as masked auto-encoders (MAE) or its variations are now being successfully applied to satellite imagery. Most of the ongoing technical validation o…