Development on Filtering Algorithms of Airborne LiDAR Point Clouds

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Airborne LiDAR is a new kind of surveying technology of remote sensing which developed rapidly during recent years. Raw laser scanning point clouds data include terrain points, building points, vegetation points, outlier points, etc.. In order to generate digital elevation model (DEM) and three-dimensional city model,these point clouds data must be filtered. Mathematical morphology based filtering algorithm, slope based filtering algorithm, TIN based filtering algorithm, moving surface based filtering algorithm, scanning lines based filtering algorithm and so on several representative filtering algorithms for LiDAR point clouds data have been introduced and discussed and contrasted in this paper. Based on these algorithms summarize the studying progresss about the filtering algorithm of airborne LiDAR point clouds data in home and abroad. In the end, the paper gives an expectation which will provides a reference for the following relative study.

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Periodical:

Edited by:

Chunliang Zhang and Paul P. Lin

Pages:

1892-1898

Citation:

J. Q. Shi et al., "Development on Filtering Algorithms of Airborne LiDAR Point Clouds", Applied Mechanics and Materials, Vols. 226-228, pp. 1892-1898, 2012

Online since:

November 2012

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$38.00

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