Research on denoising laser remote exploration signal based on wavelet analysis

Yi Jun Huang, Wei Guo Zhang, Guang Wen Li, Xiao Xiong Liu

科研成果: 期刊稿件会议文章同行评审

摘要

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.

源语言英语
文章编号60310N
期刊Proceedings of SPIE - The International Society for Optical Engineering
6031
DOI
出版状态已出版 - 2006
活动ICO20: Remote Sensing and Infrared Devices and Systems - Changchun, 中国
期限: 21 8月 200526 8月 2005

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