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Proceedings Paper

Research on denoising laser remote exploration signal based on wavelet analysis
Author(s): Yi-jun Huang; Wei-guo Zhang; Guang-wen Li; Xiao-xiong Liu
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Paper Abstract

A new method of selecting threshold according to SNR (signal noise ratio) of signal is given in this paper. The problem of denoising laser remote exploration signal with lower SNR is studied. After surveying three denoising methods by wavelet transform: Denoising algorithm by wavelet transform module max, by wavelet coefficients extent correlation and, by wavelet threshold; denoising algorithm by wavelet threshold is selected to denoise laser remote exploration signal. The computer simulation shows: Denoising lower SNR signal by wavelet transform with dynamic threshold is better than doing with soft or hard threshold.

Paper Details

Date Published: 2 February 2006
PDF: 7 pages
Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310N (2 February 2006); doi: 10.1117/12.667945
Show Author Affiliations
Yi-jun Huang, Northwestern Polytechnical Univ. (China)
Wei-guo Zhang, Northwestern Polytechnical Univ. (China)
Guang-wen Li, Northwestern Polytechnical Univ. (China)
Xiao-xiong Liu, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 6031:
ICO20: Remote Sensing and Infrared Devices and Systems
Jingshan Jiang; O. Yu. Nosach; Jiaqi Wang, Editor(s)

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