[S-TT51] ベイズ統計学が拓く地震データ解析の最前線

[STT51-03] Benchmarking Deep Learning Architectures for Rapid Disaster Response: A Case Study of the 2024 Noto Peninsula Earthquake Using Multi-Source Remote Sensing and Open Damage Inventories

*Minhaz Chowdhury¹, Md Shofiqul Islam¹ (1. Shahjalal University of Science and Technology, Sylhet)

キーワード：Semantic Segmentation, Vision Transformers (ViT), Multi-modal Remote Sensing (Optical/SAR), Post-Disaster Forensics, Building Damage Assessment, Rapid Disaster Response