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Open AccessArticle

Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints

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School of Electronic Information, Wuhan University, Wuhan 430072, China
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State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan 430079, China
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Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(11), 1342; https://doi.org/10.3390/rs11111342
Received: 15 April 2019 / Revised: 28 May 2019 / Accepted: 3 June 2019 / Published: 4 June 2019
(This article belongs to the Section Remote Sensing Image Processing)
Power line detection plays an important role in an automated UAV-based electricity inspection system, which is crucial for real-time motion planning and navigation along power lines. Previous methods which adopt traditional filters and gradients may fail to capture complete power lines due to noisy backgrounds. To overcome this, we develop an accurate power line detection method using convolutional and structured features. Specifically, we first build a convolutional neural network to obtain hierarchical responses from each layer. Simultaneously, the rich feature maps are integrated to produce a fusion output, then we extract the structured information including length, width, orientation and area from the coarsest feature map. Finally, we combine the fusion output with structured information to get a result with clear background. The proposed method fully exploits multiscale and structured prior information to conduct both accurate and efficient detection. In addition, we release two power line datasets due to the scarcity in the public domain. The method is evaluated on the well-annotated power line datasets and achieves competitive performance compared with state-of-the-art methods. View Full-Text
Keywords: power line detection; convolutional neural networks; structured features; datasets power line detection; convolutional neural networks; structured features; datasets
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Zhang, H.; Yang, W.; Yu, H.; Zhang, H.; Xia, G.-S. Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints. Remote Sens. 2019, 11, 1342.

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