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

D. Fevralev, V. Lukin, R. Marques, F. Medeiros
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Abstract

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.
结合水平集和正交变换的SAR图像斑点去除和细节保留
本文介绍了一种将水平集方法与DCT或Haar滤波相结合的小尺度目标(目标)保存SAR图像处理新方法。该方法利用水平集方法在一幅SAR图像中检测小尺寸目标和其他异质性的能力。结果表明,该方法在均匀图像区域提供有效的噪声抑制,同时保留了SAR图像中的有用信息(细节)。此外,我们对合成图像进行定量分析,对真实数据进行定性研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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