AUTOMATED LARGE-SCALE DAMAGE DETECTION ON HISTORIC BUILDINGS IN POST-DISASTER AREAS USING IMAGE SEGMENTATION
This research aims to investigate the application of computer vision and machine learning for the automatic detection of wall collapse damage in historic buildings caused by natural and man-made disasters. Given the complexities involved in inspecting damaged buildings, particularly in post-disaster...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/797/2023/isprs-archives-XLVIII-M-2-2023-797-2023.pdf |