Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles
Vegetation encroachment under overhead high voltage power line and its monitoring is a challenging problem for electricity distribution companies. Blackout can occurs if proper monitoring of vegetation is not done. The uninterrupted electric power supply is vital for industries, businesses, and dail...
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Institute of Electrical and Electronics Engineers Inc.
2023
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| author | Qayyum A. Malik A.S. Naufal M. Saad M. Iqbal M. Ahmad R.F. Abdullah T.A.R.B.T. |
| author2 | 57211138712 |
| author_facet | 57211138712 Qayyum A. Malik A.S. Naufal M. Saad M. Iqbal M. Ahmad R.F. Abdullah T.A.R.B.T. |
| author_sort | Qayyum A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Vegetation encroachment under overhead high voltage power line and its monitoring is a challenging problem for electricity distribution companies. Blackout can occurs if proper monitoring of vegetation is not done. The uninterrupted electric power supply is vital for industries, businesses, and daily life. Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellites. 3D depth of vegetation has been measured using stereo algorithm incorporating dynamic programming. We have also compared the results of QuickBird and IKONOS satellite stereo images. Results showed that QuickBird satellite image performs well as compared to IKONOS using stereo vision global optimization dynamic programming algorithm in terms of accuracy and speed. © 2014 IEEE. |
| format | Conference Paper |
| id | my.uniten.dspace-21904 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-219042023-05-16T10:45:58Z Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles Qayyum A. Malik A.S. Naufal M. Saad M. Iqbal M. Ahmad R.F. Abdullah T.A.R.B.T. 57211138712 12800348400 57034338400 56567441400 54386959400 56039696500 56594684600 Vegetation encroachment under overhead high voltage power line and its monitoring is a challenging problem for electricity distribution companies. Blackout can occurs if proper monitoring of vegetation is not done. The uninterrupted electric power supply is vital for industries, businesses, and daily life. Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellites. 3D depth of vegetation has been measured using stereo algorithm incorporating dynamic programming. We have also compared the results of QuickBird and IKONOS satellite stereo images. Results showed that QuickBird satellite image performs well as compared to IKONOS using stereo vision global optimization dynamic programming algorithm in terms of accuracy and speed. © 2014 IEEE. Final 2023-05-16T02:45:58Z 2023-05-16T02:45:58Z 2014 Conference Paper 10.1109/ICCSCE.2014.7072784 2-s2.0-84988246841 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988246841&doi=10.1109%2fICCSCE.2014.7072784&partnerID=40&md5=ed94b733377f14a4f6bda428711b4eb6 https://irepository.uniten.edu.my/handle/123456789/21904 7072784 576 581 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Qayyum A. Malik A.S. Naufal M. Saad M. Iqbal M. Ahmad R.F. Abdullah T.A.R.B.T. Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles |
| title | Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles |
| title_full | Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles |
| title_fullStr | Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles |
| title_full_unstemmed | Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles |
| title_short | Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles |
| title_sort | dynamic programming based comparison including quickbird and ikonos satellite stereo images for monitoring vegetation near power poles |
| url_provider | http://dspace.uniten.edu.my/ |