Optimal speckle reduction for the product model in multilook polarimetric SAR imagery and the Wishart distribution

被引:86
作者
Lopes, A
Sery, F
机构
[1] CESBIO (CNES/CNRS/UPS) BPI 2801
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1997年 / 35卷 / 03期
关键词
D O I
10.1109/36.581979
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Several optimal techniques exist to reduce speckle effects on polarimetric data, e.g. the Linear Minimum Mean Square Error (LMMSE) vector filter for multilook detected data or optimum summations such as the Polarimetric Whitening Filter (PWF) for one look complex data, Among other drawbacks, these standard methods do not preserve full polarimetric data, or they do not use the a priori texture distribution, or they are restricted to one look data, In the simplified case of data satisfying the so-called ''product model,'' new optimal techniques are described in this paper that are able to reduce speckle effects on multilook data, while preserving fully polarimetric information and texture variations, This ''product model'' is valid when the scene texture has a large scale of variation and is polarization independent, for instance in K-distributed clutter, Under this assumption, the measured covariance matrix (multilook data) is the product of a scalar random variable mu (the texture) and the covariance matrix C-zh of an equivalent Gaussian homogeneous surface, C-zh is the mean covariance matrix and contains the polarimetric information, A PWF for multilook complex data (MPWF) is proposed and is shown to be related to optimal statistical estimators of the texture (Maximum Likelihood, Maximum A Posteriori, MMSE...) when the complex Wishart distribution is used, The ML estimation of C-zh for textured areas is given and the adaptive filters based on these new tools are described, The results indicate a large speckle reduction, Moreover, the mean values of polarimetric features such as the magnitude and the phase of the HH-VV complex degree of coherence are preserved.
引用
收藏
页码:632 / 647
页数:16
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