Title :
Extracting transmission lines from airborne LIDAR data
Author :
McLaughlin, Robert A.
Author_Institution :
Univ. of Western Australia, Crawley, WA, Australia
fDate :
4/1/2006 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2005.863390
