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Measuring the Distance of Vegetation from Powerlines Using Stereo Vision

Authors :
Ronald Jones
Xiaoliang Wu
Hugues Talbot
Richard Beare
Kevin Cheong
Changming Sun
Michael Buckley
Mark Berman
Laboratoire d'Informatique Gaspard-Monge (LIGM)
Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM)
Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS)
Talbot, Hugues
Source :
ISPRS Journal of Photogrammetry and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2006, 60 (4), pp.269-283
Publication Year :
2006
Publisher :
HAL CCSD, 2006.

Abstract

Electricity distribution companies in many countries are required to maintain a regulated clearance space around all powerlines for bushfire mitigation and safety purposes. Vegetation encroachment of high voltage electricity line clearance space is a major problem for electricity distribution utilities. If not properly controlled, vegetation encroachment can lead to bushfire and public safety risks as well as degrading electricity supply reliability. In this paper we describe a prototype airborne system for the automated measurement of the distance of vegetation from powerlines using stereo vision from a stream of stereo images. A fundamental problem with the images from the prototype system is that the powerlines are usually difficult to see, although the power poles are visible. The proposed strategy has been to recover the vegetation surface using stereo vision techniques, identify successive power poles, model the powerlines between successive poles as a catenary, and measure the distance between the vegetation surface and the modelled line. Some suggestions about how to improve the system are also made.

Details

Language :
English
ISSN :
09242716
Database :
OpenAIRE
Journal :
ISPRS Journal of Photogrammetry and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2006, 60 (4), pp.269-283
Accession number :
edsair.doi.dedup.....24e94f12d0e19d1059b3d4eba2464952