JpGU-AGU Joint Meeting 2026

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[E] Oral

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT51] State-of-the-Art Seismic Data Analysis Based on Bayesian Statistics

Thu. May 28, 2026 10:45 AM - 12:15 PM Exhibition Hall Special Setting (8) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Nagao Hiromichi(Earthquake Research Institute, The University of Tokyo), Kato Aitaro(Earthquake Research Institute, the University of Tokyo), Yano Keisuke(The Institute of Statistical Mathematics), Sato Daisuke(Japan Agency for Marine-Earth Science and Technology)

11:15 AM - 11:30 AM

[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)

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