TY  - CONF
TI  - Identification of power poles based on satellite stereo images using graph-cut algorithm
Y1  - 2015///
N1  - cited By 1; Conference of IEEE 11th International Colloquium on Signal Processing and Its Applications, CSPA 2015 ; Conference Date: 6 March 2015 Through 8 March 2015; Conference Code:117264
AV  - none
SN  - 9781479982493
PB  - Institute of Electrical and Electronics Engineers Inc.
SP  - 106
A1  - Qayyum, A.
A1  - Malik, A.S.
A1  - Saad, M.N.M.
A1  - Ahmad, R.F.
A1  - Abdullah, A.R.T.
KW  - Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation
KW  -  Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo matching algorithm; Stereo-image
KW  -  Stereo image processing
EP  - 111
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957916234&doi=10.1109%2fCSPA.2015.7225627&partnerID=40&md5=d2cf872c8327505d21a712e3ae33fb9e
ID  - scholars5783
N2  - 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.
ER  -