{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T04:14:11Z","timestamp":1774066451719,"version":"3.50.1"},"reference-count":50,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T00:00:00Z","timestamp":1605052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["RPMP.01.02.01-12-0411\/16-01"],"award-info":[{"award-number":["RPMP.01.02.01-12-0411\/16-01"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Regular power line inspections are essential to ensure the reliability of electricity supply. The inspections of overground power submission lines include corridor clearance monitoring and fault identification. The power lines corridor is a three-dimensional space around power cables defined by a set distance. Any obstacles breaching this space should be detected, as they potentially threaten the safety of the infrastructure. Corridor clearance monitoring is usually performed either by a labor-intensive total station survey (TS), terrestrial laser scanning (TLS), or expensive airborne laser scanning (ALS) from a plane or a helicopter. This paper proposes a method that uses unmanned aerial vehicle (UAV) images to monitor corridor clearance. To maintain the adequate accuracy of the relative position of wires in regard to surrounding obstacles, the same data were used both to reconstruct a point cloud representation of a digital surface model (DSM) and a 3D power line. The proposed algorithm detects power lines in a series of images using decorrelation stretch for initial image processing, the modified Prewitt filter for edge enhancement, random sample consensus (RANSAC) with additional parameters for line fitting, and epipolar geometry for 3D reconstruction. DSM points intruding into the corridor are then detected by calculating the spatial distance between a reconstructed power line and the DSM point cloud representation. Problematic objects are localized by segmenting points into voxels and then subsequent clusterization. The processing results were compared to the results of two verification methods\u2014TS and TLS. The comparison results show that the proposed method can be used to survey power lines with an accuracy consistent with that of classical measurements.<\/jats:p>","DOI":"10.3390\/rs12223698","type":"journal-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T19:08:28Z","timestamp":1605121708000},"page":"3698","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["3D Reconstruction of Power Lines Using UAV Images to Monitor Corridor Clearance"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6965-2574","authenticated-orcid":false,"given":"El\u017cbieta","family":"Pastucha","sequence":"first","affiliation":[{"name":"AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland"},{"name":"The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0607-0432","authenticated-orcid":false,"given":"Edyta","family":"Puniach","sequence":"additional","affiliation":[{"name":"AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland"}]},{"given":"Agnieszka","family":"\u015acis\u0142owicz","sequence":"additional","affiliation":[{"name":"AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5526-0908","authenticated-orcid":false,"given":"Pawe\u0142","family":"\u0106wi\u0105ka\u0142a","sequence":"additional","affiliation":[{"name":"AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland"}]},{"given":"Witold","family":"Niewiem","sequence":"additional","affiliation":[{"name":"AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland"}]},{"given":"Pawe\u0142","family":"Wi\u0105cek","sequence":"additional","affiliation":[{"name":"AGH University of Science and Technology, Faculty of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland"},{"name":"FlyTech UAV sp. z o.o., ul. Balicka 18A, 30-149 Cracow, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mirall\u00e8s, F., Pouliot, N., and Montambault, S. (2014, January 14\u201316). State-of-the-art review of computer vision for the management of power transmission lines. Proceedings of the 3rd International Conference on Applied Robotics for the Power Industry, Foz do Iguassu, Brazil.","DOI":"10.1109\/CARPI.2014.7030068"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Li, Z., Walker, R., Hayward, R., and Mejias, L. (2010, January 5\u20137). Advances in vegetation management for power line corridor monitoring using aerial remote sensing techniques. 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