Bistatic Analysis using the Real Representation Scattering Matrix Eigen-classification
نویسندگان
چکیده
Exploring polarimetric diversity of Synthetic Aperture Radar (SAR) data is directly applicable to conventional monostatic cases. For this, the mostly used convention Backscatter Alignment. While establishing important advantages for case (possibility have equal values on cross-polarimetric channels), it has been proven introduce some difficulties bistatic case. This appears in relation so-called conjugate similarity operation, when (mathematically) asymmetric scattering matrices occur. In this paper, we propose detailed algorithm which provides a solution general matrices. The proposed based real representation matrix transformation. Further, investigate characterization canonical scatterers (three elementary targets). Raw signals are obtained by using simulations with computationally electromagnetic (EM) software, capable complete EM analysis. eigenvalue classification illustrates potential additional information brought Real Representation Scattering Matrix (RRSM). presence complex eigenvalues investigated angle and one nonreciprocity parameter.
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2022
ISSN: ['0196-2892', '1558-0644']
DOI: https://doi.org/10.1109/tgrs.2022.3175475