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

Author

Li, Yongquan ; Dai, Xiangxi ; Wang, Mingxiao ; Huang, Zhizhou

Author_Institution

Nanjing Inst. of Surveying, Mapping & Geotech. Investig., Co. Ltd., Nanjing, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

digital elevation models; geophysical techniques; optical radar; remote sensing by radar; terrain mapping; DEM Modeling; Light Detection and Ranging; data filtering algorithm; data process strategies; digital elevation model construction; improved filtering method; last return laser pulses; point cloud data; positive remote sensing technology; preprocessing LiDAR point data; terrain area; testing efficiency; Atmospheric modeling; Clouds; Filtering; Filtering algorithms; Laser modes; Laser radar; Remote sensing; DEM; Improved Filtering Method; LiDAR; Ra Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2010 18th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-7301-4

Type

conf

DOI

10.1109/GEOINFORMATICS.2010.5567709

Filename

5567709