Title
LiDAR Filtering of Urban Areas With Region Growing Based on Moving-Window Weighted Iterative Least-Squares Fitting.
Abstract
Terrain surfaces can be relatively accurately obtained from light detection and ranging data using least-squares interpolation. However, the accuracy of the extraction results is low in regions with relatively large terrain undulations, and large buildings and vegetation with large areas and relatively low permeabilities cannot be eliminated. In this letter, we propose a region growing filtering m...
Year
DOI
Venue
2017
10.1109/LGRS.2017.2682854
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Laser radar,Three-dimensional displays,Filtering,Urban areas,Interpolation,Vegetation mapping,Iterative methods
Least squares,Computer vision,Photogrammetry,Iterative method,Terrain,Interpolation,Remote sensing,Filter (signal processing),Artificial intelligence,Test data,Region growing,Mathematics
Journal
Volume
Issue
ISSN
14
6
1545-598X
Citations 
PageRank 
References 
4
0.46
3
Authors
4
Name
Order
Citations
PageRank
Lianjie Qin151.49
Wei Wu240.46
Yugang Tian340.46
Wei Xu4152.64