Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning

• المؤلفون الرئيسيون: Rao, Anirudh, Jung, Jungkyo, Silva, Vitor, Molinario, Giuseppe, Yun, Sang-Ho
• مؤلفون آخرون: Asian School of the Environment
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Science::Geology; Synthetic Aperture Radar; Model
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171476
• المؤسسة: Nanyang Technological University

This article presents a framework for semi-automated building damage assessment due to earthquakes from remote-sensing data and other supplementary datasets, while also leveraging recent advances in machine-learning algorithms. The framework integrates high-resolution building inventory data with ea...