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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Synthetic aperture radar image process and analysis
by: Wen, Bihan
Published: (2013) -
Contributions in inverse synthetic aperture radar imaging
by: TAN HWEE SIANG
Published: (2011) -
Land Deformation Monitoring using Synthetic Aperture Radar Interferometry
by: YIN TIANGANG
Published: (2012) -
Maneuvering target imaging and scaling by using sparse inverse synthetic aperture
by: Xu, Gang, et al.
Published: (2017) -
The damaging November 2022 Mw 5.6 earthquake in West Java, Indonesia
by: Yun, S., et al.
Published: (2023)