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基于小波分析的软门限滤波及其优越性评价
引用本文:郭茜,李国春,胡磊. 基于小波分析的软门限滤波及其优越性评价[J]. 气象与减灾研究, 2005, 28(2): 44-47
作者姓名:郭茜  李国春  胡磊
作者单位:沈阳农业大学,辽宁,沈阳,110161;江西省气象局,江西,南昌,330046
摘    要:介绍了基于软门限的小波分析去除遥感图像噪声的处理方法,并利用一些指标,与传统的滤波处理方法进行对比分析后发现,基于小坡分析的图像滤波方法,在去除图像噪声的同时,可以很好地保持图像边缘纹理等细节信息。

关 键 词:软门限  滤波  小波分析  评价
文章编号:1007-9033(2005)02-0044-04
收稿时间:2005-01-18
修稿时间:2005-01-18

A Wavelet-Based Soft Thresholding Filter And The Evaluation On Its Superiority
GUO Xi,LI Guo-chun,HU Lei. A Wavelet-Based Soft Thresholding Filter And The Evaluation On Its Superiority[J]. Meteorology and Disaster Reduction Research, 2005, 28(2): 44-47
Authors:GUO Xi  LI Guo-chun  HU Lei
Affiliation:l.Agricultural University of Shenyang , Liaoning 110161 , China; 2.Meteorological Bureau of Jiangxi Province , Nanchang 330046 , China
Abstract:This paper introduced the method of remote sensing image noise reduction based on wavelet analysis of soft thresholding. It was found that the method of wavelet-based image filter can keep the edge detail information of image while reducing remote sensing image noise after comparing with some traditional filter treatments by some indicators.
Keywords:Soft thresholding Filter Wavelet Evaluation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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