Damage Detection and Segmentation in Disaster Environments Using Combined YOLO and Deeplab

Building damage due to various causes occurs frequently and has risk factors that can cause additional collapses. However, it is difficult to accurately identify objects in complex structural sites because of inaccessible situations and image noise. In conventional approaches, close-up images have b...

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Bibliographic Details
Main Authors: So-Hyeon Jo, Joo Woo, Chang Ho Kang, Sun Young Kim
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/22/4267
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