Determination of Dangerous Parts of the Energy Transmission Line by the Canopy Height Model Produced from LiDAR Data
Abstract
Keywords
References
- Diaz, J.C.F., Carter, W.E., Shrestha R.L. and Glennie, C.L. (2017). Handbook of Satellite Applications, pp 929-980.
- Li, X. and Guo, Y. (2018). Application of LiDAR technology in power line inspection. IOP Conference Series: Materials Science and Engineering, 382(5).
- Chen, C., Yang, B., Song, S., Peng, X. and Huang, R. (2018). Automatic clearance anomaly detection for transmission line corridors utilizing UAV-Borne LiDAR data. Remote Sensing, 10(4). DOI: 10.3390/rs10040613
- Awrangjeb, M., Islam, M. K. and Systems, I. (2016). Classifier-Free Detection of Power Line Pylons From Point Cloud, IV(October), 14–15. DOI: 10.5194/isprs-annals-IV-4-W4-81-2017
- Ko, C., Remmel, T. K. and Sohn, G. (2012). Mapping tree general using discrete LiDAR and geometric tree metrics, Bosque (Valdivia), 33(3), 29–30. DOI: 10.4067/S0717-92002012000300015
- Kurinsky, B. H. and Hung, M.C. (2015). Identification and Visualization of Vegetation Encroachments along Power Line Corridors using LiDAR, International Journal of Research in Geography, (IJRG), 1(1), 38–51.
- Shen, X., Qin, C., Du, Y., Yu, X. and Zhang, R. (2018). An automatic extraction algorithm of high voltage transmission lines from airborne LiDAR point cloud data. Turkish Journal of Electrical Engineering and Computer Sciences, 26(4), 2043–2055. DOI: 10.3906/elk-1801-23
- Axelsson, P.E. (2000) DEM generation from laser scanner data using adaptive TIN models. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 32, pp. 110–117.
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Nuray Baş
*
0000-0003-2036-6686
Türkiye
Publication Date
June 30, 2019
Submission Date
February 25, 2019
Acceptance Date
June 18, 2019
Published in Issue
Year 2019 Volume: 40 Number: 2