Identification of power poles based on satellite stereo images using graph-cut algorithm
Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation; Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-222832023-05-29T13:59:59Z Identification of power poles based on satellite stereo images using graph-cut algorithm Qayyum A. Malik A.S. Saad M.N.M. Ahmad R.F. Abdullah A.R.T. 57211138712 12800348400 56567441400 56039696500 56594684600 Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation; Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo matching algorithm; Stereo-image; Stereo image processing Monitoring vegetation encroachment for high voltage transmission lines is a challenging job for electrical distribution companies. The encroachment interrupts electrical supply to industrial sectors and residential areas. It also endures a great cost to the authorities for maintenance and damage compensation. This brings a necessity for companies to monitor the vegetation near power lines. To solve these issues, existing monitoring methods are time consuming and expensive. In this paper, we proposed a new method to detect the vegetation using satellite stereo imagery. The method is based on Graph-Cut algorithm which applied on satellite stereo images. We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. In conclusion, based on the results, Our proposed Graph-Cut algorithm produces more accurate disparity maps than the existing matching algorithm used for disparity calculation. � 2015 IEEE. Final 2023-05-29T05:59:59Z 2023-05-29T05:59:59Z 2015 Conference Paper 10.1109/CSPA.2015.7225627 2-s2.0-84957916234 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957916234&doi=10.1109%2fCSPA.2015.7225627&partnerID=40&md5=d2cf872c8327505d21a712e3ae33fb9e https://irepository.uniten.edu.my/handle/123456789/22283 7225627 106 111 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation; Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo matching algorithm; Stereo-image; Stereo image processing |
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57211138712 |
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57211138712 Qayyum A. Malik A.S. Saad M.N.M. Ahmad R.F. Abdullah A.R.T. |
| format |
Conference Paper |
| author |
Qayyum A. Malik A.S. Saad M.N.M. Ahmad R.F. Abdullah A.R.T. |
| spellingShingle |
Qayyum A. Malik A.S. Saad M.N.M. Ahmad R.F. Abdullah A.R.T. Identification of power poles based on satellite stereo images using graph-cut algorithm |
| author_sort |
Qayyum A. |
| title |
Identification of power poles based on satellite stereo images using graph-cut algorithm |
| title_short |
Identification of power poles based on satellite stereo images using graph-cut algorithm |
| title_full |
Identification of power poles based on satellite stereo images using graph-cut algorithm |
| title_fullStr |
Identification of power poles based on satellite stereo images using graph-cut algorithm |
| title_full_unstemmed |
Identification of power poles based on satellite stereo images using graph-cut algorithm |
| title_sort |
identification of power poles based on satellite stereo images using graph-cut algorithm |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806428495430025216 |
| score |
13.214268 |