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小波变换在遥感图像薄云处理中的应用分析
引用本文:周丽雅,秦志远,殷小龙,尚炜.小波变换在遥感图像薄云处理中的应用分析[J].信息工程大学学报,2011(6):708-712.
作者姓名:周丽雅  秦志远  殷小龙  尚炜
作者单位:信息工程大学测绘学院;信息工程大学科研部;信息工程大学政治部;
基金项目:国家863计划资助项目(2009AA121403)
摘    要:云雾是遥感图像获取与应用时的常见噪声。因小波变换具有较好的时频分析特性,被广泛地应用于遥感图像的去云处理中。随着小波分析理论与技术的发展,出现了许多种形式小波变换,从云雾图像的频域特性出发,利用不同的小波变换方法对遥感图像进行了去云实验。结果表明,能完成整数到整数变换的提升小波更适用于遥感图像的去云处理。

关 键 词:小波变换  遥感图像  云雾去除  同态滤波

Analysis of Applying Wavelet Transformation to Thin Cloud and Mist Reduction of Remote Sensing Images
ZHOU Li-ya,QIN Zhi-yuan,YIN Xiao-long,SHANG Wei.Analysis of Applying Wavelet Transformation to Thin Cloud and Mist Reduction of Remote Sensing Images[J].Journal of Information Engineering University,2011(6):708-712.
Authors:ZHOU Li-ya  QIN Zhi-yuan  YIN Xiao-long  SHANG Wei
Affiliation:ZHOU Li-ya1,QIN Zhi-yuan1,YIN Xiao-long2,SHANG Wei3(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China,2.Department of Science Research,Zhengzhou 450001,3.Political Division,China)
Abstract:Cloud and mist are common noise in remote sensing data capture and application.With good time-frequency analysis features,wavelet transformations are widely used in haze removing of remote sensing images.With the development of wavelet theory,there have been many forms of wavelet transforms.Based on the frequency features of cloud and mist images,this paper presents comparative experiments of applying different wavelet transformations to remove noise.The results indicate that the lifting wavelet transformat...
Keywords:wavelet transformation  remote sensing image  cloud removing  homographic filtering  
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