%0 Conference Paper
%A Qayyum, A.
%A Malik, A.S.
%A Naufal, M.
%A Saad, M.
%A Iqbal, M.
%A Ahmad, R.F.
%A Abdullah, T.A.R.B.T.
%D 2014
%F scholars:4328
%I Institute of Electrical and Electronics Engineers Inc.
%K Electric lines; Electric power systems; Electric utilities; Global optimization; Outages; Poles; Satellites; Stereo image processing; Stereo vision; Vegetation, Disparity map; Dynamic programming algorithm; IKONOS satellite; QuickBird satellite; Transmission poles, Dynamic programming
%P 576-581
%R 10.1109/ICCSCE.2014.7072784
%T Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles
%U https://khub.utp.edu.my/scholars/4328/
%X Vegetation encroachment under overhead high voltage power line and its monitoring is a challenging problem for electricity distribution companies. Blackout can occurs if proper monitoring of vegetation is not done. The uninterrupted electric power supply is vital for industries, businesses, and daily life. Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellites. 3D depth of vegetation has been measured using stereo algorithm incorporating dynamic programming. We have also compared the results of QuickBird and IKONOS satellite stereo images. Results showed that QuickBird satellite image performs well as compared to IKONOS using stereo vision global optimization dynamic programming algorithm in terms of accuracy and speed. © 2014 IEEE.
%Z cited By 0; Conference of 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 ; Conference Date: 28 November 2014 Through 30 November 2014; Conference Code:111756