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Proceedings Paper

A noise removal algorithm for LIDAR intensity image based on orientation gradient and weighted threshold
Author(s): Shengwang Zhang; Youchan Wan
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Paper Abstract

In this paper, an algorithm of LIDAR intensity image noise removal based on orientation gradient and weighted threshold is proposed on the analysis of LIDAR imaging mechanism. It detects and removes the noise in LIDAR intensity image based on the orientation gradient of the ground got from LIDAR distance information, during which weighted threshold is adopted to calculate the threshold automatically. Experiments prove that this filter can detect and remove the noise effectively and preserve the edge information of Intensity Image better.

Paper Details

Date Published: 11 January 2007
PDF: 7 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62792R (11 January 2007); doi: 10.1117/12.725449
Show Author Affiliations
Shengwang Zhang, Wuhan Univ. (China)
Youchan Wan, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics

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