Research on denoising laser remote exploration signal based on wavelet analysis

Yi-jun Huang; Wei-guo Zhang; Guang-wen Li; Xiao-xiong Liu

doi:10.1117/12.667945

2 February 2006 Research on denoising laser remote exploration signal based on wavelet analysis

Yi-jun Huang, Wei-guo Zhang, Guang-wen Li, Xiao-xiong Liu

Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 60310N (2006) https://doi.org/10.1117/12.667945
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

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.

Citation Download Citation

Yi-jun Huang, Wei-guo Zhang, Guang-wen Li, and Xiao-xiong Liu "Research on denoising laser remote exploration signal based on wavelet analysis", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310N (2 February 2006); https://doi.org/10.1117/12.667945

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