An improved filtering method for digital elevation models construction based on LiDAR

LiDAR (Light Detection and Ranging) is a positive remote sensing technology. In this paper, with analyzed the characteristic of LiDAR data and discussed the advantages of LiDAR data, we present an improved data filtering algorithm for LiDAR data. It is basing on the last return laser pulses and trie...

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Bibliographic Details
Published in2010 18th International Conference on Geoinformatics pp. 1 - 5
Main Authors Yongquan Li, Xiangxi Dai, Mingxiao Wang, Zhizhou Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Atmospheric modeling
Clouds
DEM
Filtering
Filtering algorithms
Improved Filtering Method
Laser modes
Laser radar
LiDAR
Ra Model
Remote sensing
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ISBN1424473012
9781424473014
ISSN2161-024X
DOI10.1109/GEOINFORMATICS.2010.5567709

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Summary:LiDAR (Light Detection and Ranging) is a positive remote sensing technology. In this paper, with analyzed the characteristic of LiDAR data and discussed the advantages of LiDAR data, we present an improved data filtering algorithm for LiDAR data. It is basing on the last return laser pulses and tries to design an fast pre-processing LiDAR point data with the purpose of DEM Modeling from LiDAR based point cloud data. The algorithm contains two times of filtering with different aims and data process strategies. Experiments of real terrain area are presented for testing efficiency and accuracy of this filtering method.
ISBN:1424473012
9781424473014
ISSN:2161-024X
DOI:10.1109/GEOINFORMATICS.2010.5567709