Multitemporal SAR Image Despeckling Based on a Scattering Covariance Matrix of Image Patch

Sensors
Xiaoshuang Ma, Penghai Wu

Abstract

This paper presents a despeckling method for multitemporal images acquired by synthetic aperture radar (SAR) sensors. The proposed method uses a scattering covariance matrix of each image patch as the basic processing unit, which can exploit both the amplitude information of each pixel and the phase difference between any two pixels in a patch. The proposed filtering framework consists of four main steps: (1) a prefiltering result of each image is obtained by a nonlocal weighted average using only the information of the corresponding time phase; (2) an adaptively temporal linear filter is employed to further suppress the speckle; (3) the final output of each patch is obtained by a guided filter using both the original speckled data and the filtering result of step 3; and (4) an aggregation step is used to tackle the multiple estimations problem for each pixel. The despeckling experiments conducted on both simulated and real multitemporal SAR datasets reveal the pleasing performance of the proposed method in both suppressing speckle and retaining details, when compared with both advanced single-temporal and multitemporal SAR despeckling techniques.

References

Sep 5, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Alin AchimJosiane Zerubia
Aug 12, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Charles-Alban DeledalleFlorence Tupin
Feb 1, 1980·IEEE Transactions on Pattern Analysis and Machine Intelligence·J S Lee
Feb 1, 1985·IEEE Transactions on Pattern Analysis and Machine Intelligence·D T KuanP Chavel

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Software Mentioned

SARAS
PolSAR
SAR raw signal simulator ( SARAS )
MSAR
RB

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