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Combining Level Set and orthogonal transforms for speckle reduction and detail preservation in SAR images

机译:结合水平集和正交变换以减少SAR图像中的斑点和细节

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This paper introduces a new approach for SAR image processing by combining a Level Set method and DCT or Haar based filtering with small-sized object (target) preservation. The approach exploits the Level Set method ability to detect small-sized targets and other heterogeneities in one-look amplitude SAR image It is demonstrated that the proposed approach provides efficient noise suppression in homogeneous image regions with simultaneous preservation of useful information (details) in SAR images. Moreover, we perform quantitative analysis for synthetic images and qualitative study for real data.
机译:本文介绍了一种新的SAR图像处理方法,它将水平集方法和基于DCT或基于Haar的滤波与小型对象(目标)保存相结合。该方法利用“水平集”方法检测单幅振幅SAR图像中的小目标和其他异质性的能力。事实证明,该方法可在均匀图像区域中提供有效的噪声抑制,同时保留SAR中的有用信息(细节)图片。此外,我们对合成图像进行定量分析,并对真实数据进行定性研究。

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