eprintid: 7113
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/71/13
datestamp: 2023-11-09 16:18:54
lastmod: 2023-11-09 16:18:54
status_changed: 2023-11-09 16:08:30
type: conference_item
metadata_visibility: show
creators_name: Qayyum, A.
creators_name: Malik, A.S.
creators_name: Naufal, M.
creators_name: Saad, M.
creators_name: Mazher, M.
creators_name: Rasheed, W.
creators_name: Abdullah, T.A.R.B.T.
title: Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery
ispublished: pub
keywords: Algorithms; Biomedical engineering; Electric lines; Electric power systems; Electric utilities; Image acquisition; Image matching; Poles; Satellite imagery; Satellites; Stereo image processing; Students; Vegetation, Disparity map; Dynamic programming algorithm; Electricity distribution companies; High-voltage power line; IKONOS satellite; Ikonos satellite image; Stereo matching algorithm; Transmission poles, Dynamic programming
note: cited By 1; Conference of IEEE Student Symposium in Biomedical Engineering and Sciences, ISSBES 2015 ; Conference Date: 4 November 2015; Conference Code:120053
abstract: Vegetation encroachment and its monitoring near high voltage power line is a challenging problem for electricity distribution companies. Electric supply companies monitor the vegetation/trees near power lines to avoid the blackouts that may occur in case of an improper monitoring of vegetation. The uninterrupted electric power supply is vital for industries, businesses, and daily life. 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 satellite images and calculated disparity map using stereo matching algorithms i.e. dynamic programming (DP) and Hierarchical dynamic programming (HDP). The 3D depth of vegetation is based on disparity map which has been measured using stereo algorithms. Results showed that HDP performs well as compared to DP based on QuickBird and IKONOS satellite stereo images in terms of accuracy. © 2015 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965161730&doi=10.1109%2fISSBES.2015.7435881&partnerID=40&md5=683ff48ca6025c2aacaacc471dbd35c3
id_number: 10.1109/ISSBES.2015.7435881
full_text_status: none
publication: ISSBES 2015 - IEEE Student Symposium in Biomedical Engineering and Sciences: By the Student for the Student
pagerange: 122-127
refereed: TRUE
isbn: 9781467378154
citation:   Qayyum, A. and Malik, A.S. and Naufal, M. and Saad, M. and Mazher, M. and Rasheed, W. and Abdullah, T.A.R.B.T.  (2016) Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery.  In: UNSPECIFIED.