摘要:针对非局部化图像修复算法(Non-local Means)在干涉图滤波方面的不足,提出了一种基于相干系数改进的自适应平滑参数的Non-local Means算法,理论上,改进的算法在对InSAR干涉图进行去噪的同时,能够保留更多的干涉图像纹理和细节信息。最后通过实测数据,比较分析了新算法与传统Non-local Meas滤波算法、goldstein、自适应中值滤波的去噪效果,结果表明本文提出的改进算法在抑制InSAR干涉图噪声、保持相位信息和条纹信息方面要优于其他3种滤波算法。
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