Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data

Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data

Change detection is a major issue for urban area monitoring. In this paper, a new three-step point-based method for detecting changes to buildings and trees using airborne light detection and ranging (LiDAR) data is proposed. First, the airborne LiDAR data from two dates are accurately registered us...

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Bibliographic Details
Main Authors: Hao Xu, Liang Cheng, Manchun Li, Yanming Chen, Lishan Zhong
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Remote Sensing
Subjects:
change detection
octree
airborne LiDAR
buildings
trees
urban environment
Online Access:http://www.mdpi.com/2072-4292/7/8/9682

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