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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| 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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