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A modified coupled PDE method of InSAS interferogram de-noising

机译:InSAS干涉图去噪的改进耦合PDE方法

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In the previous works, the edge-strength function depends on isotropic smoothing of the image, which results in failing to preserve corners and junctions, and may also result in failing to resolve small features that are closely grouped together. In this paper, we present a new interferometric synthetic aperture sonar (InSAS) interferogram filtering method. The presented method, using a modified coupled partial differential equation (PDE) method, has the ability of removing the noise and preserving the edge. Simulated and real data are used to test the presented method. The processing results indicate that the noise is removed effectively, and the image edge is preserved much better than those results given in the literature.
机译:在以前的工作中,边缘强度函数取决于图像的各向同性平滑,这将导致无法保留角点和结点,并且还可能导致无法解析紧密组合在一起的小特征。在本文中,我们提出了一种新的干涉式合成孔径声纳(InSAS)干涉图滤波方法。提出的方法,使用改进的耦合偏微分方程(PDE)方法,具有消除噪声和保留边缘的能力。仿真和真实数据用于测试所提出的方法。处理结果表明,与文献中给出的结果相比,噪声得到了有效消除,并且图像边缘得到了更好的保留。

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