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一维小波变换在侧扫声纳图像去噪中的应用
引用本文:熊传梁,夏伟,孙新轩,裴文斌.一维小波变换在侧扫声纳图像去噪中的应用[J].海洋测绘,2013,33(3):29-32.
作者姓名:熊传梁  夏伟  孙新轩  裴文斌
作者单位:1. 海军大连舰艇学院海洋测绘系,辽宁大连,116018
2. 天津水运工程勘察设计院,天津,300456
摘    要:针对侧扫声纳呯信号中的斑点噪声问题,采用一维离散小波变换对信号在各尺度分解,采用非极大值抑制技术平滑信号,并对各层小波系数模极大值进行阈值化处理抑制噪声,讨论了不同阈值对去噪效果的影响。结果表明,尺度因子和阈值的选择对原数据能量保持影响不大,但对噪声抑制效果影响大。文中算例均能较好地保持边缘,边缘保持指数均在0.5以上。

关 键 词:侧扫声纳  非极大值抑制  阈值  一维小波变换

Application of 1D Wavelet Transform in Denoising Side-scan Sonar Images
XIONG Chuanliang,XIA Wei,SUN Xinxuan,PEI Wenbin.Application of 1D Wavelet Transform in Denoising Side-scan Sonar Images[J].Hydrographic Surveying and Charting,2013,33(3):29-32.
Authors:XIONG Chuanliang  XIA Wei  SUN Xinxuan  PEI Wenbin
Institution:1.Department of Hydrography and Cartography,Dalian Naval Academy,Dalian 116018,China; 2.Tianjin Research Institute for Water Transport Engineering,Tianjin 300456,China)
Abstract:Aimed at the speckle noise of SSS Ping-signals,1D DWT was used to decompose the sigal on different scales. After non-maxima suppression on wavelet coefficients,the modulus maximum of wavelet coefficients was gained. The signal denoising was implemented by threshold processing of the modulus maximum and effects of different thresholds on denoising were discussed. The results indicated that the selection of scale factor and threshold influenced little on the maintenance of the original data energy,but influenced a lot on the noise effect. After denoising,the examples with edge preserve index(EPI) above 0. 5 could preserve edges well.
Keywords:side-scan sonar (SSS)  non-maxima suppression  threshold  1D wavelet transform (1D DWT)
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