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Proceedings Paper

Lidar signal de-noising by singular value decomposition
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Paper Abstract

Signal de-noising remains an important problem in lidar signal processing. This paper presents a de-noising method based on singular value decomposition. Experimental results on lidar simulated signal and real signal show that the proposed algorithm not only improves the signal-to-noise ratio effectively, but also preserves more detail information.

Paper Details

Date Published: 18 November 2014
PDF: 14 pages
Proc. SPIE 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, 929910 (18 November 2014); doi: 10.1117/12.2072683
Show Author Affiliations
Huanxue Wang, Anhui Institute of Optics and Fine Mechanics (China)
Jianguo Liu, Anhui Institute of Optics and Fine Mechanics (China)
Tianshu Zhang, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 9299:
International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications
Anatoli G. Borovoi; Dong Liu, Editor(s)

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