5 papers · 1 filter
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…
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…
Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu +3
Attention models have recently emerged as a powerful approach, demonstrating significant progress in various fields. Visualization techniques, such as class activation mapping, pro…
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…
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
LiDAR odometry estimation and 3D semantic segmentation are crucial for autonomous driving, which has achieved remarkable advances recently. However, these tasks are challenging due…