基于小波和形态学结合的雷达图像降噪算法  

Radar Image Noise Reduction Based on Wavelet and Morphology Algorithm

作　　者：赵松[1] 李庆[2] 江汉红[1] 徐恒[2] 雷明[3] 

机构地区：[1]海军工程大学电气与信息工程学院 [2]武汉理工大学信息学院 [3]中国人民解放军91515部队

出　　处：《船电技术》2012年第7期1-3,共3页Marine Electric & Electronic Engineering

基　　金：湖北省自然科学基金(2010CDB01503)

摘　　要：为减小导航雷达图像的噪声和杂波干扰,通过分析噪声主要特点及各种常见的图像去噪算法,本文提出了一种结合小波变换和形态学的雷达图像去噪方法,利用小波的多分辨率特性对图像细节进行处理,再结合形态学闭运算,在降低噪声的同时有效保留了图像细节。实验结果表明,该方法对雷达图像具有较好的降噪效果。In order to reduce the noise and clutter interference in navigation radar image, this paper proposes a method based on wavelet transform combined with morphology for radar image denoising by analyzing noise features and common image denoising algorithms. The multi-resolution characteristics of wavelet transform are used to analyze and process image details, and then combined with closed operation in morphology, the image details are retained while reducing the noise effectively. The experimental results show that this method has a good denoising result for radar image.

关 键 词：雷达图像 小波变换 形态学 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]