SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

Abstract

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.

Review of interferometric synthetic aperture sonar interferometric phase filtering methods

“…Li and Ren 67 proposed an adaptive weighted median filtering method for noise coefficients after the wavelet transform, which can remove noise adaptively. He et al 68 proposed a phase filtering algorithm by combining a shear-wave transform and the interferometric phase standard deviation. The algorithm combines the interferometric phase statistics with shear-wave threshold filtering and corrects the filter threshold using the phase standard deviation to improve the filtering effect.…”