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基于小波去噪的返回散射电离图前沿提取
引用本文:郭延波,杨东升,李雪.基于小波去噪的返回散射电离图前沿提取[J].电子科学技术评论,2014(1):81-84.
作者姓名:郭延波  杨东升  李雪
作者单位:中国电波传播研究所,山东青岛266107
基金项目:国家自然科学基金青年科学基金项目(61302006)
摘    要:提出了基于小波去噪结合自适应阈值的Canny算子进行返回散射电离图前沿提取的方法;简单介绍了小波变换去除噪声和用Canny算子进行边缘检测的基本步骤,结合返回散射电离图的统计特性和基本全局阈值技术,提出一种自适应阈值方法进行Canny算子硬阈值的确定方法.所研究的方法可有效的降低噪声对返回散射电离图前沿提取的影响,将返回散射电离图前沿成功提取出来.

关 键 词:返回散射前沿  小波变换  边缘检测  自适应阈值

Extracting Backscatter Ionogram Leading Edges Using Denoising Technique Based on Wavelet Transform
Authors:GUO Yan-bo  YANG Dong-sheng  LI Xue
Affiliation:(China Research Institute of Radiowave Propagation, Shandong Qingdao 266107, China)
Abstract:A new method to extract backscatter ionogram leading edges using Canny arithmetic operator based on adaptive threshold combined with denoising technique based on wavelet transform is proposed. The procedure of denoising technique based on wavelet transform and the edge detection algorithm based on Canny operator is briefly introduced. The method to determine the high threshold on Canny arithmetic operator based on the statistic property of backscatter ionogram combined with the global threshold is put forward. The algorithm proposed in this thesis can effectively deal with noisy images and achieve the ex- traction of backscatter ionogram leading edges.
Keywords:backscatter ionogram leading  wavelet transform  edge detection  adaptive threshold
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