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

Research on denoising laser remote exploration signal based on wavelet analysis

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

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Article number	60310N
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6031
DOIs	https://doi.org/10.1117/12.667945
State	Published - 2006
Event	ICO20: Remote Sensing and Infrared Devices and Systems - Changchun, China Duration: 21 Aug 2005 → 26 Aug 2005

Keywords

Noise
SNR
Threshold
Wavelet transform

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10.1117/12.667945

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title = "Research on denoising laser remote exploration signal based on wavelet analysis",

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.",

keywords = "Noise, SNR, Threshold, Wavelet transform",

author = "Huang, {Yi Jun} and Zhang, {Wei Guo} and Li, {Guang Wen} and Liu, {Xiao Xiong}",

year = "2006",

doi = "10.1117/12.667945",

language = "英语",

volume = "6031",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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publisher = "SPIE",

note = "ICO20: Remote Sensing and Infrared Devices and Systems ; Conference date: 21-08-2005 Through 26-08-2005",

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TY - JOUR

T1 - Research on denoising laser remote exploration signal based on wavelet analysis

AU - Huang, Yi Jun

AU - Zhang, Wei Guo

AU - Li, Guang Wen

AU - Liu, Xiao Xiong

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Noise

KW - SNR

KW - Threshold

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=33645219357&partnerID=8YFLogxK

U2 - 10.1117/12.667945

DO - 10.1117/12.667945

M3 - 会议文章

AN - SCOPUS:33645219357

SN - 0277-786X

VL - 6031

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 60310N

T2 - ICO20: Remote Sensing and Infrared Devices and Systems

Y2 - 21 August 2005 through 26 August 2005

ER -

Research on denoising laser remote exploration signal based on wavelet analysis

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Keywords

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