基于ICA的PolSAR图像去噪

2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC) Pub Date : 2016-10-01 DOI:10.1109/ISETC.2016.7781128

R. Malutan, R. Terebeș, Mihaela Cislariu, C. Germain, Ioana Ilea

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引用次数: 0

摘要

提出了一种极化SAR图像的散斑去噪方法，将基于ICA的稀疏编码收缩算法作为滤波方法。尽管ICA方法在音频信号处理中得到了广泛的应用，但它与收缩函数相结合，在乘性降噪方面取得了很好的效果。采用扩展广义Lambda分布(EGLD)算法对变换矩阵进行估计，然后再进行稀疏编码。在PolSAR数据集上对该方法进行了测试，并与常用的散斑去噪算法进行了比较。评价指标表明，基于ICA的方法取得了较好的效果。

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ICA based PolSAR image denoising

A speckle denoising in polarimetric SAR images is proposed considering as filtering method the sparse code shrinkage algorithm based on ICA. Even thou the ICA method was widely used in audio signal processing, in combination with shrinkage function give good results for multiplicative noise reduction. The Extended Generalized Lambda Distribution (EGLD) algorithm was set to estimate the transform matrix before applying the sparse coding. The proposed method was tested on PolSAR datasets and compared with well-known speckle noise removal algorithms. The evaluation indexes gave good results for the ICA based method.

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来源期刊

2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC)

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