An Integrated UAV and Deep Learning Framework With HSB-Based Segmentation for Automated Slope Anomaly Detection in Mountainous Soil and Water Conservation Sites
This study integrates unmanned aerial vehicles (UAVs) and deep learning techniques to improve the efficiency of monitoring soil and water conservation facilities in mountainous regions. Traditional inspection methods face challenges such as difficult accessibility, high labor demands, and inefficien...
| Published in: | Advances in Civil Engineering |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Online Access: | http://dx.doi.org/10.1155/adce/5580438 |