Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments

•A weakly supervised power line detection algorithm is proposed.•A line specialized refinement algorithm is applied for performance improvement.•A repeated learning framework with noise label develops the model output. Detection of power lines in aerial images is an important problem to prevent acci...

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Veröffentlicht in:	Expert systems with applications Jg. 165; S. 113895
Hauptverfasser:	Choi, Hyeyeon, Koo, Gyogwon, Kim, Bum Jun, Kim, Sang Woo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.03.2021 Elsevier BV
Schlagworte:	Accident prevention Algorithms Annotations Artificial neural networks Datasets Image segmentation Industrial application Labeling Labels Line segments Machine learning Pixels Power lines Semantic segmentation Training Unmanned aerial vehicles Weakly supervised learning Line segments Semantic segmentation Weakly supervised learning Industrial application Power lines
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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