LARNet-SAP-YOLOv11: A Joint Model for Image Restoration and Corrosion Defect Detection of Transmission Line Fittings Under Multiple Adverse Weather Conditions
Adverse weather conditions such as haze, rain, and snow degrade images captured by uncrewed aerial vehicles (UAVs) during transmission line inspections and severely affect the detection of corrosion defects in transmission line fittings. To address this challenge, we propose LARNet-SAP-YOLOv11, a un...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11115062/ |
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