Polarimetric SAR target feature extraction and image formation via a semiparametric method

We present a semi-parametric spectral estimation algorithm for fully polarimetric synthetic aperture radar (SAR) target feature extraction and image formation. The algorithm is based on a flexible data model that models each target scatterer as a two-dimensional complex sinusoid with arbitrary amplitude and constant phase in cross-range and with constant amplitude and phase in range. The algorithm is a relaxation-based optimization approach that minimizes a nonlinear least squares (NLS) cost function. Due to using the fully polarimetric radar measurements (HH, HV, and VV) simultaneously, the algorithm provides not only more accurate target features, but also more useful information about the target of interest than the single polarization based algorithm. The algorithm has the ability to discriminate corner reflector types by also exploiting the differences in the polarimetric scattering properties of the scatterers of the target of interest. Numerical examples are presented to demonstrate the performance of the proposed algorithm.

[1]  Stephen L. Durden,et al.  A three-component scattering model for polarimetric SAR data , 1998, IEEE Trans. Geosci. Remote. Sens..

[2]  Victor J. Larson,et al.  Polarimetric subspace target detector for SAR data based on the Huynen dihedral model , 1995, Defense, Security, and Sensing.

[3]  Petre Stoica,et al.  Introduction to spectral analysis , 1997 .

[4]  Jian Li,et al.  Using APES for interferometric SAR imaging , 1996, Defense, Security, and Sensing.

[5]  R. Klemm,et al.  Conference Report: Eusar '96 Current Trends In SAR Technology , 1997, IEEE Aerospace and Electronic Systems Magazine.

[6]  J. Zyl,et al.  Unsupervised classification of scattering behavior using radar polarimetry data , 1989 .

[7]  Jian Li,et al.  SAR image formation via semiparametric spectral estimation , 1999 .

[8]  Jian Li,et al.  Feature extraction of SAR targets consisting of trihedral and dihedral corner reflectors , 1997, Defense, Security, and Sensing.

[9]  Jian Li,et al.  Efficient mixed-spectrum estimation with applications to target feature extraction , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[10]  Jian Li,et al.  An adaptive filtering approach to spectral estimation and SAR imaging , 1996, IEEE Trans. Signal Process..

[11]  J. Kong,et al.  Theory of microwave remote sensing , 1985 .