一种基于条纹中心线的InSAR干涉图滤波方法

InSAR Interferogram Filtering Based on the Center Lines of the Interference-stripes

干涉条纹图噪声的滤除是InSAR数据处理的关键步骤之一。针对干涉条纹图的各向异性特征,提出一种基于条纹中心线的InSAR干涉图滤波算法,考虑到干涉条纹中心线获取的复杂性,此算法采用细胞神经网络快速提取干涉条纹图的条纹中心线。通过用真实的InSAR干涉图实验证明此方法具有很好的滤波效果,滤波结果视觉特征良好、残余点减少,保持了图像的边缘和细节特征,而且降低了为滤波效果所付出的时间代价。

Removing the noise of the interference-stripes images is one important step during the data processing of InSAR. Aimed at the anisotropic characteristic, a method for InSAR interferogram filtering method based on the center lines of the interference＊stripes is proposed. Considering the difficulty to obtain the center lines of the stripes, the algorithm proposed in this paper extracts the center lines of interference-stripes quickly by using CNN （Cellular Neural Networks） algorithm for its parallel feature to process data. The experiment results with good visual feature, little residue and strong image edges and details holding ability show that this method is efficient, at the same time the cost of time spent for better effect is greatly decreased.