Advances in vegetation management for power line corridor monitoring using aerial remote sensing techniques

Li, Zhengrong; Walker, Rodney A.; Hayward, Ross; Mejias, Luís

doi:10.1109/carpi.2010.5624431

Cited by 24 publications

(17 citation statements)

References 13 publications

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“…There are many studies researching inspections carried out by unmanned aerial vehicles (UAV) equipped with LIDAR. [1,11] Such system can generate surface model regardless of lighting conditions. LIDAR is a sensor mounted on larger UAV platforms which significantly increases the cost of such a solution.…”

Section: Introductionmentioning

confidence: 99%

Methods of automatic vegetation encroachment detection for high voltage power lines

Sikorska-Łukasiewicz

2020

Radioelectronic Systems Conference 2019

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Overhead inspections of high voltage power lines are very expensive undertaking. Power lines require systematic inspections to avoid failures and power outages. In each growing season vegetation encroachment is one of the most severe threat. Presently overhead inspections use helicopters and are carried out manually at least once a year. More cost effective systems, using UAV, are being researched. In this paper selected methods from all studied solutions were compared. A cost effective system was proposed using consumer grade UAV with standard camera and deep neural networks for detecting vegetation encroachment.

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Section: Introductionmentioning

confidence: 99%

Methods of automatic vegetation encroachment detection for high voltage power lines

Sikorska-Łukasiewicz

2020

Radioelectronic Systems Conference 2019

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“…Power line detection is an important task in the inspection of electrical infrastructure prior to maintenance, for this reason, there exists interest in developing methods that reduce costs, risks and the logistic problems of manual inspection including manned flights [15], [11], [18] by using UAVs [22]. The UAVs can be used for capturing images from different views that have to be processed in order to detect power lines [13].…”

Section: Introductionmentioning

confidence: 99%

Power line detection using a circle based search with UAV images

Cerón

Mondragón

Prieto

2014

2014 International Conference on Unmanned Aircraft Systems (ICUAS)

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A new method for power line detection based on computer graphics algorithms is presented. The algorithm uses geometric relationships that are inherent to the circle symmetry. The method detects line segments that are linked in a posterior stage. For the detection, we use Canny and Steerable Filters. We developed two tests for validating the proposed approach. The first one uses synthetic images and the second one real power line images taken from UAVs. The results show that this method is not only efficient for line detection, but it also takes compared with state of the art algorithms a short computing time without the use of a GPU approach.

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“…They meet the requirements of high spatial and temporal resolutions. Several researchers [4][5][6][7][8] have used UAV based imaging sensors to detect powerlines from diverse backgrounds. In the literature, edge detection followed by straight line detection is one of the commonly used method for detecting power lines in an image.…”

Section: Introductionmentioning

confidence: 99%

“…Jwa et al [7] used LIDAR 3D point cloud data in which voxel classification was used to cluster similar features. Li and Walker et al [8] performed statistical analysis of 3 point cloud intensity data to classify terrain and objects. Later it was mapped into 2D plane and Hough transform was applied to detect lines.…”

Section: Introductionmentioning

confidence: 99%

Automatic detection of powerlines in UAV remote sensed images

Kn¹,

Murthy²,

Senthilnath³

et al. 2015

2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)

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Abstract-Powerline detection is one of the important applications of Uninhabited Aerial Vehicle (UAV ) based remote sensing. In this paper, powerlines are detected from UAV remote sensed images. The images are acquired from a Quad rotor UAV fitted with a GoPro® camera.In the proposed method pixel intensity-based clustering is performed followed by morphological operations. K-means clustering is applied for clustering. The number of clusters to be used in kmeans clustering is automatically generated using DaviesBouldin (DB) index. Further, the clustered data is processed to improvise the extraction using mathematical morphological operations. Performance of powerline extraction is analysed using confusion matrix method. In the observed results of powerline extraction using DB index, evaluation features derived from confusion matrix is close to one, indicating good classification.

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Advances in vegetation management for power line corridor monitoring using aerial remote sensing techniques

Cited by 24 publications

References 13 publications

Methods of automatic vegetation encroachment detection for high voltage power lines

Methods of automatic vegetation encroachment detection for high voltage power lines

Power line detection using a circle based search with UAV images

Automatic detection of powerlines in UAV remote sensed images

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