Identification of power poles based on satellite stereo images using graph-cut algorithm

Abdul Qayyum, Aamir Saeed Malik, Mohamad Naufal Mohamad Saad, Rana Fayyaz Ahmad, Ab Rashid Taun Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-111
Number of pages6
ISBN (Electronic)9781479982493
DOIs
Publication statusPublished - 26 Aug 2015
EventIEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015 - Kuala Lumpur, Malaysia
Duration: 06 Mar 201508 Mar 2015

Publication series

NameProceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015

Other

OtherIEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015
CountryMalaysia
CityKuala Lumpur
Period06/03/1508/03/15

Fingerprint

Poles
Satellites
Monitoring
Electric lines
Industry
Electric potential
Costs

All Science Journal Classification (ASJC) codes

  • Signal Processing

Cite this

Qayyum, A., Malik, A. S., Saad, M. N. M., Ahmad, R. F., & Abdullah, A. R. T. (2015). Identification of power poles based on satellite stereo images using graph-cut algorithm. In Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015 (pp. 106-111). [7225627] (Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA.2015.7225627
Qayyum, Abdul ; Malik, Aamir Saeed ; Saad, Mohamad Naufal Mohamad ; Ahmad, Rana Fayyaz ; Abdullah, Ab Rashid Taun. / Identification of power poles based on satellite stereo images using graph-cut algorithm. Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 106-111 (Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015).
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abstract = "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.",
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Qayyum, A, Malik, AS, Saad, MNM, Ahmad, RF & Abdullah, ART 2015, Identification of power poles based on satellite stereo images using graph-cut algorithm. in Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015., 7225627, Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 106-111, IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015, Kuala Lumpur, Malaysia, 06/03/15. https://doi.org/10.1109/CSPA.2015.7225627

Identification of power poles based on satellite stereo images using graph-cut algorithm. / Qayyum, Abdul; Malik, Aamir Saeed; Saad, Mohamad Naufal Mohamad; Ahmad, Rana Fayyaz; Abdullah, Ab Rashid Taun.

Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 106-111 7225627 (Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Qayyum A, Malik AS, Saad MNM, Ahmad RF, Abdullah ART. Identification of power poles based on satellite stereo images using graph-cut algorithm. In Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 106-111. 7225627. (Proceedings - 2015 IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015). https://doi.org/10.1109/CSPA.2015.7225627