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

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...

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Bibliographic Details
Main Authors: Rao, Anirudh, Jung, Jungkyo, Silva, Vitor, Molinario, Giuseppe, Yun, Sang-Ho
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171476
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Institution: Nanyang Technological University
Language: English