636
Views
18
CrossRef citations to date
0
Altmetric
Research Article

Extraction of urban power lines and potential hazard analysis from mobile laser scanning point clouds

ORCID Icon, &
Pages 3411-3428 | Received 24 Sep 2019, Accepted 28 Nov 2019, Published online: 03 Jan 2020

References

  • Awrangjeb, M. 2019. “Extraction of Power Line Pylons and Wires Using Airborne LiDAR Data at Different Height Levels.” Remote Sensing 11 (15): 1798. doi:10.3390/rs11151798.
  • Beucher, S., and C. Lantuejoul. 1979. “Use of Watersheds in Contour Detection: Presented at International Workshop on Image Processing.” Real-Time Edge, and Motion Detection/Estimation, Rennes, France.
  • Chen, C., B. Yang, S. Song, X. Peng, and R. Huang. 2018. “Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data.” Remote Sensing 10 (4). doi:10.3390/rs10040613.
  • Chen, Q., D. Baldocchi, P. Gong, and M. Kelly. 2006. “Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data.” Photogrammetric Engineering & Remote Sensing 72 (8): 923–932. doi:10.14358/PERS.72.8.923.
  • Cheng, L., L. Tong, Y. Wang, and M. Li. 2014. “Extraction of Urban Power Lines from Vehicle-Borne LiDAR Data.” Remote Sensing 6 (4): 3302–3320. doi:10.3390/rs6043302.
  • Gross, H., and U. Thoennessen. 2006. “Extraction of Lines from Laser Point Clouds.” Symposium of ISPRS Commission III: Photogrammetric Computer Vision PCV06. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (Part 3), Calgary, Canada, 86–91.
  • Guan, H. Y., Y. T. Yu, J. Li, and P. F. Liu. 2016. “Pole-Like Road Object Detection in Mobile LiDAR Data via Supervoxel and Bag-of-Contextual-Visual-Words Representation.” IEEE Geoscience and Remote Sensing Letters 13 (4): 520–524. doi:10.1109/Lgrs.2016.2521684.
  • Guo, B., Q. Li, X. Huang, and C. Wang. 2016. “An Improved Method for Power-Line Reconstruction from Point Cloud Data.” Remote Sensing 8 (1): 36. doi:10.3390/rs8010036.
  • Hackel, T., J. D. Wegner, and K. Schindler. 2016. “Fast Semantic Segmentation of 3d Point Clouds with Strongly Varying Density.” Xxiii Isprs Congress, Commission Iii 3 (3): 177–184. doi:10.5194/isprsannals-III-3-177-2016.
  • Herrero-Huerta, M., R. Lindenbergh, and P. Rodriguez-Gonzalvez. 2018. “Automatic Tree Parameter Extraction by a Mobile LiDAR System in an Urban Context.” PloS One 13 (4): e0196004. doi:10.1371/journal.pone.0196004.
  • Hyyppa, J., O. Kelle, M. Lehikoinen, and M. Inkinen. 2001. “A Segmentation-based Method to Retrieve Stem Volume Estimates from 3-D Tree Height Models Produced by Laser Scanners.” IEEE Transactions on Geoscience and Remote Sensing 39 (5): 969–975. doi:10.1109/36.921414.
  • Ituen, I., G. Sohn, and A. Jenkins. 2008. “A Case Study: Workflow Analysis of Powerline Systems for Risk Management.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 37: 331–336.
  • Jwa, Y., G. Sohn, and H. B. Kim. 2009. “Automatic 3d Powerline Reconstruction Using Airborne Lidar Data.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38 (Part 3): W8.
  • Katrasnik, J., F. Pernus, and B. Likar. 2010. “A Survey of Mobile Robots for Distribution Power Line Inspection.” IEEE Transactions on Power Delivery 25 (1): 485–493. doi:10.1109/tpwrd.2009.2035427.
  • Ko, C., T. K. Remmel, and G. Sohn. 2012. “Mapping Tree Genera Using Discrete LiDAR and Geometric Tree Metrics.” Bosque 33 (3): 29–30. doi:10.4067/S0717-92002012000300015.
  • Kurinsky, B. 2013. Power Line Corridor Vegetation Management: Clearing a Path to Reliable Electric Service Using LiDAR: a Thesis Presented to the Department of Humanities and Social Sciences in Candidacy for the Degree of Master of Science. Northwest Missouri State University.
  • Kwak, D.-A., W.-K. Lee, J.-H. Lee, G. S. Biging, and P. Gong. 2017. “Detection of Individual Trees and Estimation of Tree Height Using LiDAR Data.” Journal of Forest Research 12 (6): 425–434. doi:10.1007/s10310-007-0041-9.
  • Liang, J., J. Zhang, K. Deng, Z. Liu, and Q. Shi. 2011. “A New Power-line Extraction Method Based on Airborne LiDAR Point Cloud Data.”International Sympositum on Image and Data Fusion (ISIDF), Tengchong, China, 9-11 August, 1–4.
  • Liu, Y., Z. Li, R. Hayward, R. Walker, and H. Jin. 2009. “Classification of Airborne LIDAR Intensity Data Using Statistical Analysis and Hough Transform with Application to Power Line Corridors.” In 2009 Digital Image Computing: Techniques and Applications, IEEE, Melbourne, Australia, 1-3 December, 462–467.
  • Matikainen, L., M. Lehtomäki, E. Ahokas, J. Hyyppä, M. Karjalainen, A. Jaakkola, A. Kukko, and T. Heinonen. 2016. “Remote Sensing Methods for Power Line Corridor Surveys.” ISPRS Journal of Photogrammetry and Remote Sensing 119: 10–31. doi:10.1016/j.isprsjprs.2016.04.011.
  • McLaughlin, R. A. 2006. “Extracting Transmission Lines From Airborne LIDAR Data.” IEEE Geoscience and Remote Sensing Letters 3 (2): 222–226. doi:10.1109/lgrs.2005.863390.
  • Mei, C., and S. Durrieu. 2004. “Tree Crown Delineation from Digital Elevation Models and High Resolution Imagery.” Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 36: 3–6.
  • Melzer, T., and C. Briese. 2004. “Extraction and Modeling of Power Lines from ALS Point Clouds. In Proceedings of 28th Workshop of the Austrian Association for Pattern Recognition, Hagenberg, Austria, 47–54.
  • Mills, S. J., M. P. Gerardo Castro, Z. Li, J. Cai, R. Hayward, L. Mejias, and R. A. Walker. 2010. “Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-line Corridors.” IEEE Transactions on Geoscience and Remote Sensing 48 (9): 3379–3390. doi:10.1109/TGRS.2010.2046905.
  • Ortega, S., A. Trujillo, J. M. Santana, J. P. Suárez, and J. Santana. 2019. “Characterization and Modeling of Power Line Corridor Elements from LiDAR Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 152: 24–33. doi:10.1016/j.isprsjprs.2019.03.021.
  • Ou, T., X. Geng, and B. Yang. 2009. “Application of Vehicle-borne Data Acquisition System to Power Line Detection.” Journal of Geodesy and Geodynamics 29 (2): 149–151.
  • Parkan, M. 2018. “Digital Forestry Toolbox for Matlab/Octave.” http://mparkan.github.io/Digital-Forestry-Toolbox/
  • Parkan, M., and D. Tuia. 2018. “Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering.” Remote Sensing 10 (2): 335. doi:10.3390/rs10020335.
  • Persson, A., J. Holmgren, and U. Soderman. 2002. “Detecting and Measuring Individual Trees Using an Airborne Laser Scanner.” Photogrammetric Engineering and Remote Sensing 68 (9): 925–932.
  • Qin, X., G. Wu, J. Lei, F. Fan, and X. Ye. 2018. “Detecting Inspection Objects of Power Line from Cable Inspection Robot LiDAR Data.” Sensors (Basel, Switzerland) 18 (4): 1284.
  • Qin, X., G. Wu, X. Ye, L. Huang, and J. Lei. 2017. “A Novel Method to Reconstruct Overhead High-Voltage Power Lines Using Cable Inspection Robot LiDAR Data.” Remote Sensing 9 (7): 753. doi:10.3390/rs9070753.
  • Ritter, M., and W. Benger. 2012. “Reconstructing Power Cables from Lidar Data Using Eigenvector Streamlines of the Point Distribution Tensor Field.” Journal of WSCG 20 (3): 223–230.
  • Shi, Z., Z. Kang, Y. Lin, Y. Liu, and W. Chen. 2018. “Automatic Recognition of Pole-Like Objects from Mobile Laser Scanning Point Clouds.” Remote Sensing 10 (12): 1891. doi:10.3390/rs10121891.
  • Sohn, G., Y. Jwa, and H. B. Kim. 2012. “Automatic Powerline Scene Classification and Reconstruction Using Airborne Lidar Data.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences I-3: 167–172. doi:10.5194/isprsannals-I-3-167-2012.
  • Ussyshkin, R. V., L. Theriault, M. Sitar, and T. Kou. 2011. “Advantages of Airborne Lidar Technology in Power Line Asset Management.” In Proceedings of the 2011 International Workshop onMulti-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), IEEE, Xiamen, China, 10-12 January 2011, 1–5.
  • Xu, S., and R. Wang. 2019. “Power Line Extraction from Mobile LiDAR Point Clouds.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (2): 734–743. doi:10.1109/jstars.2019.2893967.
  • Yang, J., and Z. Kang. 2018. “Voxel-Based Extraction of Transmission Lines from Airborne LiDAR Point Cloud Data.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (10): 3892–3904. doi:10.1109/jstars.2018.2869542.
  • Yokoyama, H., H. Date, S. Kanai, and H. Takeda. 2013. “Detection and Classification of Pole-like Objects from Mobile Laser Scanning Data of Urban Environments.” International Journal of Cad/cam 13 (2): 31–34.
  • Zhang, C., and F. Qiu. 2012. “Mapping Individual Tree Species in an Urban Forest Using Airborne Lidar Data and Hyperspectral Imagery.” Photogrammetric Engineering & Remote Sensing 78 (10): 1079–1087. doi:10.14358/PERS.78.10.1079.
  • Zhang, W. M., J. B. Qi, P. Wan, H. T. Wang, D. H. Xie, X. Y. Wang, and G. J. Yan. 2016. “An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation.” Remote Sensing 8 (6): 501. doi:10.3390/rs8060501.
  • Zhu, L., and J. Hyyppä. 2014. “Fully-Automated Power Line Extraction from Airborne Laser Scanning Point Clouds in Forest Areas.” Remote Sensing 6 (11): 11267–11282. doi:10.3390/rs61111267.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.