Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Dynamic programming; Electric lines; Electric utilities; Graph algorithms; Graphic methods; Poles; Power transmission; Remote sensing; Satellites; Stereo image processing; Transmissions; Vegetation; 3D depth approach; Graph cut; QuickBird satellite; Satellite sensors; Stereo matching; Outages
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International Society for Photogrammetry and Remote Sensing
2023
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my.uniten.dspace-223592023-05-29T14:00:28Z Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms Qayyum A. Malik A.S. Saad M.N.M. Iqbal M. Abdullah F. Rahseed W. Abdullah T.A.R.B.T. Ramli A.Q. 57211138712 12800348400 56567441400 54386959400 57188825497 56668727200 56594684600 35779000400 Dynamic programming; Electric lines; Electric utilities; Graph algorithms; Graphic methods; Poles; Power transmission; Remote sensing; Satellites; Stereo image processing; Transmissions; Vegetation; 3D depth approach; Graph cut; QuickBird satellite; Satellite sensors; Stereo matching; Outages Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This will affect electric power supply to industries, businesses, and daily life. Therefore, to avoid the blackouts, it is mandatory to monitor the vegetation/trees near power transmission lines. Unfortunately, the existing approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation/trees near or under the power transmission poles using satellite stereo images, which were acquired using Pleiades satellites. The 3D depth of vegetation has been measured near power transmission lines using stereo algorithms. The area of interest scanned by Pleiades satellite sensors is 100 square kilometer. Our dataset covers power transmission poles in a state called Sabah in East Malaysia, encompassing a total of 52 poles in the area of 100 km. We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites' imaging sensors and Depth-estimation Algorithms. Our results show that Graph-Cut Algorithm performs better than dynamic programming (DP) in terms of accuracy and speed. Final 2023-05-29T06:00:28Z 2023-05-29T06:00:28Z 2015 Conference Paper 10.5194/isprsarchives-XL-7-W3-489-2015 2-s2.0-84930385091 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930385091&doi=10.5194%2fisprsarchives-XL-7-W3-489-2015&partnerID=40&md5=3cbf9c70c5f5b5486db36553861a4b03 https://irepository.uniten.edu.my/handle/123456789/22359 40 7W3 489 494 All Open Access, Gold, Green International Society for Photogrammetry and Remote Sensing Scopus |
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| description |
Dynamic programming; Electric lines; Electric utilities; Graph algorithms; Graphic methods; Poles; Power transmission; Remote sensing; Satellites; Stereo image processing; Transmissions; Vegetation; 3D depth approach; Graph cut; QuickBird satellite; Satellite sensors; Stereo matching; Outages |
| author2 |
57211138712 |
| author_facet |
57211138712 Qayyum A. Malik A.S. Saad M.N.M. Iqbal M. Abdullah F. Rahseed W. Abdullah T.A.R.B.T. Ramli A.Q. |
| format |
Conference Paper |
| author |
Qayyum A. Malik A.S. Saad M.N.M. Iqbal M. Abdullah F. Rahseed W. Abdullah T.A.R.B.T. Ramli A.Q. |
| spellingShingle |
Qayyum A. Malik A.S. Saad M.N.M. Iqbal M. Abdullah F. Rahseed W. Abdullah T.A.R.B.T. Ramli A.Q. Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms |
| author_sort |
Qayyum A. |
| title |
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms |
| title_short |
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms |
| title_full |
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms |
| title_fullStr |
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms |
| title_full_unstemmed |
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms |
| title_sort |
vegetation height estimation near power transmission poles via satellite stereo images using 3d depth estimation algorithms |
| publisher |
International Society for Photogrammetry and Remote Sensing |
| publishDate |
2023 |
| _version_ |
1806424302231224320 |
| score |
13.214268 |