基于小波的SAR图像分析与解译技术研究  

A Study on the Technique of SAR Image Analysis and Target Recognition Based on Wavelet

作　　者：郭巍[1,2] 张平[1] 曲延涛[3] 

机构地区：[1]中国科学院电子学研究所,北京100190 [2]中国科学院研究生院,北京100049 [3]中国科学院工程热物理研究所,北京100080

出　　处：《现代雷达》2009年第8期47-50,54,共5页Modern Radar

基　　金：国家自然科学基金资助项目(90210017)

摘　　要：小波变换是一种局部细化分析,已被广泛应用到了合成孔径雷达信号处理的诸多方面,并收到了良好的效果。文中在介绍了合成孔径雷达图像解译与目标识别研究背景的基础上,就小波分析在相干斑噪声抑制、特征提取、图像分割与目标识别等方面的应用进行了分类探讨,展望了小波方法在合成孔径雷达图像解译与目标识别领域的应用潜力。Wavelet transform, a local refining analysis, has been widely used in signal processing of SAR. In this paper, a study on the background of interpretation and target recognition of SAR imagery is briefly reviewed. Then the applications of wavelet anal- ysis are introduced for speckle noise suppression, feature extraction, image segmentation, and target recognition, and a new, feasible method for feature extraction of texture energy is presented. At last, the potential application of wavelet methods in the field of SAR image interpretation and target recognition is discussed.

关 键 词：合成孔径雷达 小波分析 图像解译 目标识别 

分 类 号：TN957.52[电子电信—信号与信息处理]