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一种基于小波边缘检测的CLOUDSAT数据云检测方法研究 被引量:2

Application Research of Edge Detection in Cloud Detection Using Wavelet Transform Based on Cloudsat Data
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摘要 基于CLOUDSAT上有效载荷云剖面雷达(CPR)的回波数据进行云检测研究。为得到轮廓清晰,具有详细边缘细节的云图,提出了一种基于小波变换法对去噪前的云剖面图进行边缘检测的云检测方法。该方法通过对云剖面图二维小波变换局部极大值的检测,得到云的边缘轮廓图.实验通过比较CLOUDSAT项目组提出的SEM(Significant Echo Mask)算法结果证明了方法的有效性。 A method of hydrometeor detection using CLOUDSAT data is described. To solve the problem of fuzzy cloud edge and to maintain most edge information, a way of edge detection using wavelet transform is presented to detect cloud edge. The method acquires the information of the cloud edge by detecting the image local maxima of the two-dimension wavelet transform. The algorithm was verified by a brief comparison between experiment results and the results achieved by CLOUDSAT project using SEM (Significant Echo Mask) algorithm.
作者 王颖 董戈
出处 《科学技术与工程》 2009年第13期3847-3849,3853,共4页 Science Technology and Engineering
关键词 云检测 CPR 小波变换 边缘检测 cloud detection CPR wavelet transform edge detection
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参考文献5

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