- Title
- Classifier-free extraction of power line wires from point cloud data
- Creator
- Awrangjeb, Mohammad; Gao, Yongsheng; Lu, Guojun
- Date
- 2018
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/168500
- Identifier
- vital:13827
- Identifier
-
https://doi.org/10.1109/DICTA.2018.8615869
- Identifier
- ISBN:9781538666029 (ISBN)
- Abstract
- This paper proposes a classifier-free method for extraction of power line wires from aerial point cloud data. It combines the advantages of both grid- and point-based processing of the input data. In addition to the non-ground point cloud data, the input to the proposed method includes the pylon locations, which are automatically extracted by a previous method. The proposed method first counts the number of wires in a span between the two successive pylons using two masks: vertical and horizontal. Then, the initial wire segments are obtained and refined iteratively. Finally, the initial segments are extended on both ends and each individual wire points are modelled as a 3D polynomial curve. Experimental results show both the object-based completeness and correctness are 97%, while the point-based completeness and correctness are 99% and 88%, respectively.; 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018; Canberra, Australia; 10th-13th December 2018
- Rights
- Copyright © 2018 IEEE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Extraction; Modelling; Point cloud; Power line; Wire
- Reviewed
- Hits: 1276
- Visitors: 1233
- Downloads: 1
| Thumbnail | File | Description | Size | Format |
|---|