eprintid: 5962
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/59/62
datestamp: 2023-11-09 16:17:42
lastmod: 2023-11-09 16:17:42
status_changed: 2023-11-09 16:04:23
type: conference_item
metadata_visibility: show
creators_name: Qayyum, A.
creators_name: Malik, A.S.
creators_name: Saad, M.N.M.
creators_name: Iqbal, M.
creators_name: Abdullah, F.
creators_name: Rahseed, W.
creators_name: Abdullah, T.A.R.B.T.
creators_name: Ramli, A.Q.
title: Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
ispublished: pub
keywords: Dynamic programming; Electric lines; Electric utilities; Graph algorithms; Graphic methods; Poles; Power transmission; Remote sensing; Satellites; Stereo image processing; Transmissions; Vegetation, 3D depth approach; Graph cut; QuickBird satellite; Satellite sensors; Stereo matching, Outages
note: cited By 4; Conference of 2015 36th International Symposium on Remote Sensing of Environment ; Conference Date: 11 May 2015 Through 15 May 2015; Conference Code:112074
abstract: Monitoring vegetation encroachment under overhead high voltage power line is a challenging problem for electricity distribution companies. Absence of proper monitoring could result in damage to the power lines and consequently cause blackout. This will affect electric power supply to industries, businesses, and daily life. Therefore, to avoid the blackouts, it is mandatory to monitor the vegetation/trees near power transmission lines. Unfortunately, the existing approaches are more time consuming and expensive. In this paper, we have proposed a novel approach to monitor the vegetation/trees near or under the power transmission poles using satellite stereo images, which were acquired using Pleiades satellites. The 3D depth of vegetation has been measured near power transmission lines using stereo algorithms. The area of interest scanned by Pleiades satellite sensors is 100 square kilometer. Our dataset covers power transmission poles in a state called Sabah in East Malaysia, encompassing a total of 52 poles in the area of 100 km. We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites' imaging sensors and Depth-estimation Algorithms. Our results show that Graph-Cut Algorithm performs better than dynamic programming (DP) in terms of accuracy and speed.
date: 2015
publisher: International Society for Photogrammetry and Remote Sensing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930385091&doi=10.5194%2fisprsarchives-XL-7-W3-489-2015&partnerID=40&md5=3cbf9c70c5f5b5486db36553861a4b03
id_number: 10.5194/isprsarchives-XL-7-W3-489-2015
full_text_status: none
publication: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
volume: 40
number: 7W3
pagerange: 489-494
refereed: TRUE
isbn: 9780000000002; 9781629934297; 9781629935126; 9781629935201
issn: 16821750
citation:   Qayyum, A. and Malik, A.S. and Saad, M.N.M. and Iqbal, M. and Abdullah, F. and Rahseed, W. and Abdullah, T.A.R.B.T. and Ramli, A.Q.  (2015) Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms.  In: UNSPECIFIED.