A Hierarchical unsupervised method for power line classification from airborne LiDAR data

A Hierarchical unsupervised method for power line classification from airborne LiDAR data

The automatic classification of power lines from airborne light detection and ranging (LiDAR) data is a crucial task for power supply management. The methods for power line classification can be either supervised or unsupervised. Supervised methods might achieve high accuracy for small areas, but it...

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Bibliographic Details
Main Authors: Yanjun Wang, Qi Chen, Lin Liu, Kai Li
Format: Article
Language:English
Published: Taylor & Francis Group 2019-12-01
Series:International Journal of Digital Earth
Subjects:
airborne lidar data
power lines
unsupervised classification
feature extraction
Online Access:http://dx.doi.org/10.1080/17538947.2018.1503740

Internet

http://dx.doi.org/10.1080/17538947.2018.1503740

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