Share Email Print

Proceedings Paper

Automatic estimation of LIDAR points data spatial resolution distribution
Author(s): Hui Li; Deren Li; Xianfeng Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

LIDAR is now a widely used technique in the fields of mapping and survey. Various algorithms on LIDAR data analysis and process are present as demanded in the past years. There are plenty of thresholds in these algorithms, which have great relationship with the point spacing. However, there is few researches particular on this issue. In this article, a peak value statistics-based approach aimed at the problem of uneven distribution of points cloud density is described. A grid index is established to manage the points. Then total number of points in each grid index unit is obtained. The statistic produces distribution of resolution and the peak value of the distribution. In this approach, the distribution of points data spatial resolution in the region combined with different kind of terrain feature, is estimated automatically. Compared with resolution obtained by manual method, this algorithm is accurate and effective.

Paper Details

Date Published: 8 August 2007
PDF: 10 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675210 (8 August 2007); doi: 10.1117/12.760501
Show Author Affiliations
Hui Li, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Xianfeng Huang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

© SPIE. Terms of Use
Back to Top