DocumentCode :
3565327
Title :
Power LinesVegetation enchroachment monitoring based on Satellite Stereo images using stereo matching
Author :
Qayyum, Abdul ; Malik, Aamir Saeed ; Mohamad Saad, Mohamad Naufal ; Iqbal, Mahboob ; Abdullah, M.F. ; Ab Rashid Bin Tuan Abdullah, Tuan ; Ramli, Ahmad Quisti
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Continuous monitoring the vegetation encroachment for high voltage transmission lines is challenging task for electrical distribution authorities. The enchroachment causes interruption which results in blackouts. It also endures great cost to the authorities for maintenance and damage compensation. There are many methods available to monitor growth of vegetation near transmission line poles. However, these methods are constrained with time consumption and cost. In this paper,a new method based estimating 3D height/depth of vegetation or trees near transmission lines using satellite stereo vision is proposed. We have evaluated local methods of stereo matching using Quickbird Satellite stereo images and compare the performance of stereo matching cost functions in terms of processing speed and time. Results show that our proposed algorithm is faster and more accurate than the existing algorithm for disparity calculation.
Keywords :
geophysical image processing; image matching; poles and towers; power engineering computing; power transmission lines; power transmission reliability; remote sensing; stereo image processing; vegetation; damage compensation; electrical distribution authorities; high voltage transmission lines; power lines vegetation encroachment monitoring; quickbird satellite stereo images; satellite stereo images; satellite stereo vision; stereo matching cost functions; trees monitoring; vegetation monitoring; Cost function; Equations; Mathematical model; Monitoring; Satellites; Stereo vision; Vegetation mapping; Area Based methods; LIDAR; Satellite Stereo Images; Stereo Matching; Surveillance of Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Instrumentation, Measurement and Applications (ICSIMA), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-8039-0
Type :
conf
DOI :
10.1109/ICSIMA.2014.7047425
Filename :
7047425
Link To Document :
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