Extracting transmission lines from airborne LIDAR data

Author

McLaughlin, Robert A.

Author_Institution

Univ. of Western Australia, Crawley, WA, Australia

Volume

3

Issue

2

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

222

Lastpage

226

Abstract

This letter presents an algorithm to aid in the automatic monitoring of high-voltage transmission lines using airborne light detection and ranging (LIDAR) technology. LIDAR data are first automatically labeled as transmission line, vegetation, or surface. The extracted transmission line data points are then segmented into individual spans using local affine models of the data. The algorithm correctly identified 86.9% of those data points that lay on transmission lines, and extracted 72.1% of the individual transmission line spans.

Keywords

geophysical techniques; image segmentation; laser ranging; optical radar; remote sensing by laser beam; airborne LIDAR; automatic monitoring; high-voltage transmission lines; image segmentation; laser radar; light detection and ranging; local affine model; Computerized monitoring; Conductors; Data mining; Laser modes; Laser radar; Power transmission lines; Radar detection; Transmission line measurements; Transmission lines; Vegetation mapping; Laser radar; light detection and ranging (LIDAR); predictor; segmentation; transmission lines;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2005.863390

Filename

1621083