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Measuring the Distance of Vegetation from Powerlines Using Stereo Vision
- 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.
- Subjects :
- Mains electricity
Computer science
Reliability (computer networking)
0211 other engineering and technologies
02 engineering and technology
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
Catenary
0202 electrical engineering, electronic engineering, information engineering
medicine
Computers in Earth Sciences
Engineering (miscellaneous)
ComputingMilieux_MISCELLANEOUS
ComputingMethodologies_COMPUTERGRAPHICS
021101 geological & geomatics engineering
Remote sensing
Electric power distribution
business.industry
Atomic and Molecular Physics, and Optics
Computer Science Applications
Stereopsis
[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]
Line (geometry)
020201 artificial intelligence & image processing
Electricity
medicine.symptom
business
Vegetation (pathology)
Subjects
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