计算机应用与软件2017，Vol.34Issue(1)：187-190,4.DOI:10.3969/j.issn.1000-386x.2017.01.034
基于HAAR小波域边缘方向特征的SAR图像去噪
SAR IMAGE DE-NOISING METHOD BASED ON EDGE DIRECTION FEATURES OF HAAR WAVELET DOMAIN
摘要
Abstract
A new method of synthetic aperture radar (SAR) image speckle noise reduction based on wavelet transform is proposed by using the two-level wavelet decomposition to obtain the sub-band wavelet coefficients HL, LH and HH, which can be used to determine the strength of the corresponding edge direction.By setting the threshold, it is able to determine whether a point is located on the edge or not.The proposed method effectively suppresses speckle noise, while better preserving the edge and texture information of the SAR image.It has the advantages of simple calculation and high efficiency.Through the simulation experiment, it can be seen from the smoothing index and edge keeping index that the proposed method presents better experimental results than other existing methods.关键词
合成孔径雷达/斑点噪声/小波/边缘方向性Key words
Synthetic aperture radar/Speckle noise/Wavelet/Edge directionality分类
信息技术与安全科学引用本文复制引用
章明珠,郑敏,廖开阳..基于HAAR小波域边缘方向特征的SAR图像去噪[J].计算机应用与软件,2017,34(1):187-190,4.基金项目
国家自然科学基金项目(11272253). （11272253）
