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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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 6; p. 1367
Main Authors:	Zhao, Wenbo, Dong, Qing, Zuo, Zhengli
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.03.2022
Subjects:	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
Online Access:	Get full text
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