基于尺度间相关性的SAR图像方向自适应去斑

R. Sethunadh, T. Thomas
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引用次数: 0

摘要

Directionlet变换(DT)作为一种各向异性、严格采样和具有沿任意两个方向的方向消失矩的完美重建变换,在过去几年中得到了广泛的应用。考虑变换系数之间的多尺度相关性,可以显著提高基于多分辨率分析的去斑方案的性能。本文提出了一种考虑高斯高斯模型DT系数的尺度间相关性的SAR图像方向自适应去斑算法。通过与其他类似方案的比较,说明了该方案的有效性。
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Directionally adaptive despeckling of SAR image using interscale dependence
Directionlet Transform (DT) has gained popularity over the last few years as an anisotropic, critically sampled and perfect reconstruction transform with directional vanishing moments along any two directions. The performance of despeckling schemes based on multi-resolution analysis can be improved significantly by taking into account the multi-scale correlation among the transform coefficients. This paper proposes a novel directionally adaptive de-speckling algorithm for SAR images by taking into account the statistical inter scale dependency of Cauchy-Gaussian modeled DT coefficients. The effectiveness of the proposed scheme is illustrated by comparing it with other similar schemes.
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