融合Goldstein滤波的BM3D干涉图去噪算法BM3D interferogram denoising algorithm fusing with Goldstein filter
马靓婷,卢小平,王舜瑶,周雨石,余振宝
摘要(Abstract)：
为进一步提高干涉图的滤波效果,该文提出了针对合成孔径雷达干涉技术(InSAR)干涉图的改进BM3D算法。该算法将Goldstein滤波高效去除干涉图噪声的优势融入到BM3D算法基本估计中,并在最终估计阶段增强被过度平滑的图像细节,改进算法在保留图像细节信息的前提下提高了去除InSAR干涉图噪声的能力。为验证改进算法的适用性,采用模拟数据和实测数据进行实验处理,以残差点数、峰值信噪比、边缘保持指数和等效视数等作为评价指标,将此算法与基于梯度的自适应滤波、Lee滤波、Goldstein滤波、BM3D滤波进行比较,结果表明改进算法改善了滤波效果,提高了去噪能力,并保留了图像的细节特征。
关键词(KeyWords)： InSAR干涉图;相位噪声;滤波去噪;BM3D;Goldstein滤波
基金项目(Foundation): 2016年国家重点研发计划项目(2016YFC0803103);; 河南省高校创新团队支持计划项目(14IRTSTHN026);; 河南省创新型科技创新团队支持计划项目
作者(Author): 马靓婷,卢小平,王舜瑶,周雨石,余振宝
DOI: 10.16251/j.cnki.1009-2307.2020.04.011
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