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SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

机译:基于干涉相位统计的Shearlet域SAR干涉图滤波

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This paper presents a new filtering approach for Synthetic Aperture Radar (SAR) interferometric phase noise reduction in the shearlet domain, depending on the coherent statistical characteristics. Shearlets provide a multidirectional and multiscale decomposition that have advantages over wavelet filtering methods when dealing with noisy phase fringes. Phase noise in SAR interferograms is directly related to the interferometric coherence and the look number of the interferogram. Therefore, an optimal interferogram filter should incorporate information from both of them. The proposed method combines the phase noise standard deviation with the shearlet transform. Experimental results show that the proposed method can reduce the interferogram noise while maintaining the spatial resolution, especially in areas with low coherence.
机译:本文提出了一种新的滤波方法,用于根据相干统计特征在小波域中降低合成孔径雷达(SAR)干涉式相位噪声。 Shearlets提供了多方向和多尺度分解,在处理噪声相位条纹时,它比小波滤波方法具有优势。 SAR干涉图中的相位噪声与干涉相干性和干涉图的外观数量直接相关。因此,最佳干涉图滤波器应合并两个传感器的信息。所提出的方法将相位噪声标准偏差与小波变换相结合。实验结果表明,该方法在保持空间分辨率的同时,特别是在相干性较低的区域,可以减少干涉图噪声。

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