国土资源遥感Issue(4)：14-20,7.DOI:10.6046/gtzyyg.2015.04.03
基于双重离散小波变换的遥感图像去噪算法
Remote sensing image de-noising algorithm based on double discrete wavelet transform
摘要
Abstract
In combination with discrete wavelet transform ( DWT ) and two - dimensional multi - stage median filtering( TMMF) algorithms, the author proposes a self-adaptive remote sensing image de-noising algorithm in this paper. Firstly, the remote sensing noise image is conducted with the single layer DWT so as to obtain the low-frequency wavelet sub-image and high-frequency wavelet sub-images. As the low-frequency sub-image is not polluted by noise, the low-frequency sub-image should be kept unchanged. Signal layer DWT is conducted again for high-frequency sub-images, and therefore the secondary low-frequency sub-image and secondary high-frequency sub-images are obtained. Then, the secondary low-frequency sub-images are filtered by the improved TMMF algorithm, and the secondary high-frequency sub-images are processed by the improved wavelet hard threshold function model. Finally, the wavelet reconstruction image is acquired. Three remote sensing images with detailed information were adopted to test the performance of the method proposed in this paper, and the results of theoretical analysis and test show that the filtering performance of the algorithm proposed in this paper is superior to TMMF algorithm and its improved algorithm as well as wavelet transform hard threshold de-noising algorithm.关键词
遥感图像/离散小波变换(DWT)/二维多级中值滤波(TMMF)/改进的TMMF算法/改进的硬阈值函数模型/去噪算法Key words
remote sensing image/discrete wavelet transform(DWT)/two-dimensional multi-stage median filte-ring (TMMF)/improved TMMF algorithm/improved wavelet transform hard threshold function model/de-noising algorithm分类
信息技术与安全科学引用本文复制引用
张倩..基于双重离散小波变换的遥感图像去噪算法[J].国土资源遥感,2015,(4):14-20,7.基金项目
河南省高等学校教学工程项目“2013年度河南省高等学校教学团队---计算机应用”(编号:教高[2013]589号)资助。 （编号:教高[2013]589号）
