A novel focal phi loss for power line segmentation with auxiliary classifier u-net
The segmentation of power lines (PLs) from aerial images is a crucial task for the safe navigation of unmanned aerial vehicles (UAVs) operating at low altitudes. Despite the advances in deep learning-based approaches for PL segmentation, these models are still vulnerable to the class imbalance prese...
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Main Authors: | , , |
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Format: | Article |
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MDPI AG
2021
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104358183&doi=10.3390%2fs21082803&partnerID=40&md5=539eb4bb559697a805a71533930c6116 http://eprints.utp.edu.my/23786/ |
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Institution: | Universiti Teknologi Petronas |