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...

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Bibliographic Details
Main Authors: J. Kallas, R. Napolitano
Format: Article
Language:English
Published: Copernicus Publications 2023-06-01
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

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