2 February 2006 Research on denoising laser remote exploration signal based on wavelet analysis
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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.
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Yi-jun Huang, Yi-jun Huang, Wei-guo Zhang, Wei-guo Zhang, Guang-wen Li, Guang-wen Li, Xiao-xiong Liu, 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); doi: 10.1117/12.667945; https://doi.org/10.1117/12.667945
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