Speckle Suppression of Polarimetric Synthetic Aperture Radar Images Based on Sublook Data Correlation

doi:10.3969/j.issn.1000-1093.2015.07.018

Abstract

Abstract: 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.

Key words: information processing technology, remote sensing image, polarimetric synthetic aperture radar, speckle, non-local, sub-look data, hypothesis test

CLC Number:

TN957

LIU Kun, MA Wen-ping, LIU Hong-ying. Speckle Suppression of Polarimetric Synthetic Aperture Radar Images Based on Sublook Data Correlation[J]. Acta Armamentarii, 2015, 36(7): 1288-1294.

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