A Weighted Acceleration Algorithm Based on Non-Local Filter for Sar Images with The Polarization Similarity

摘要

In order to accelerate the calculation of the similarity metric between two patches in non-local means filter of polarimetric synthetic aperture radar (PolSAR) images, this paper proposes a weighted acceleration algorithm to eliminate redundant operations. It can greatly reduce the computational complexity by using the accumulated covariance data to avoid repeated computations. Furthermore, the algorithm introduces the polarization similarity parameter to preserve the details of the image. It also processes the covariance matrix of each pixel. Thus, the polarimetric properties are maintained. The results of the C-band RadarSat-2 data are provided to demonstrate its rapidity and competitive general performance of speckle reduction and edge preservation.