Matrix Log Cumulant-based Speckle Filtering Method for Polarimetric Synthetic Aperture Radar Data

doi:10.3969/j.issn.1000-1093.2014.09.011

Abstract

Abstract: Speckle filtering is a crucial procedure in polarimetric synthetic aperture radar (PolSAR) data processing. MLC is introduced into PolSAR speckle filtering by calculating the filtering coefficient based on the matrix log-cumulant (MLC) and using the non-local method for the first time. In the proposed method, a homogeneous region is selected based on non-local method, then the data are filtered using the MLC-based filter coefficient. The determinant of the coherence matrix is used in the calculation in both two steps. It is more reasonable than using the SPAN data or the principal diagonal elements in the coherence matrix. The comparison experiments illustrate that the proposed method can smooth the homogeneous region effectively. Meanwhile, the structure, texture and detail information of PolSAR image are better retained. And the polarimetric signature of the data is also well maintained.

Key words: information processing technology, remote sensing image, polarimetric synthetic aperture radar, speckle filtering, denoising, matrix logcumulant, Mellin transform

CLC Number:

TN957

LIU Kun, MA Wen-ping , LIU Hong-ying, WANG Shuang. Matrix Log Cumulant-based Speckle Filtering Method for Polarimetric Synthetic Aperture Radar Data[J]. Acta Armamentarii, 2014, 35(9): 1400-1407.

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