基于子视数据相关性的极化合成孔径雷达图像噪声抑制.

A new non-local filter based on the sublook data correlation is proposed for the speckle suppression of multilook polarimetric synthetic aperture radar (PolSAR). Non-local techniques search for patches similar to the reference patch in a spatially extended neighborhood, and process the image with weighted averaging method based on the similarity. Therefore, similarity measurement plays an important role for non-local approaches.The sublook data of multilook PolSAR samples contain more correlation information than just the samples themselves, which could benefit the effectiveness of the similarity measurement in non-local filters. The proposed filter measures the correlation of two groups of sublook data in order to find the patch-based similarity. Then the homogeneous samples are selected to suppress the speckle based on the similarity. Experimental results and comparison with other filters illustrate an outstanding performance of the proposed filter. [ABSTRACT FROM AUTHOR]