A Method Combining Line Detection and Semantic Segmentation for Power Line Extraction from Unmanned Aerial Vehicle Images

Power line extraction is the basic task of power line inspection with unmanned aerial vehicle (UAV) images. However, due to the complex backgrounds and limited characteristics, power line extraction from images is a difficult problem. In this paper, we construct a power line data set using UAV image...

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Vydáno v:	Remote sensing (Basel, Switzerland) Ročník 14; číslo 6; s. 1367
Hlavní autoři:	Zhao, Wenbo, Dong, Qing, Zuo, Zhengli
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.03.2022
Témata:	Accuracy Algorithms Clutter Construction data collection Datasets Fault diagnosis Fields (mathematics) Image classification Image segmentation Inspection Kalman filters least squares Least squares method Methods object-based Markov random field (OMRF) power line extraction Power lines Probabilistic models probability Remote sensing Semantic segmentation Semantics texture unmanned aerial vehicle (UAV) image Unmanned aerial vehicles weighted region adjacency graph (WRAG)
ISSN:	2072-4292, 2072-4292
On-line přístup:	Získat plný text
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