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Proceedings Paper

SAR optimal polarization analysis based on polarization synthesis
Author(s): Yanwen Li; Yonghong Zhang; Yingbao Yang
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Paper Abstract

The polarization feature of the target could be expressed by both the scattering matrix and the Stokes matrix. In the Back Scattering Alignment (BSA) system, scattering matrix meets the principle of reciprocity and every element of it is a complex number. Stokes matrix is a transformed format of scattering matrix and reflects the relationship between SAR received power and transceiver antenna polarization status. For a deterministic target, there is a one-to-one correspondence between the scattering matrix and the Stokes matrix. Since the Stokes matrix is always a real symmetric matrix and has the nature of normal matrix. It is usually used to save polarized scattering data. With the development of polarization technology, polarization synthesis has already become one of the most important tools for polarization data analysis. An optimal polarization status and the maximum reception power must exist through different parameters combinations. That means target's optimal polarization. Traditional target's optimal polarization theory was based on the scattering matrix. But the scattering matrix is usually obtained difficultly, so the calculating process always be much complex. In this paper, we deduce the formulae optimal receive power based on Stokes matrix and polarization synthesis. The algorithm could be carried out easily and the programming process is much directly. Some experiments proof that ideal results could received by proposed algorithm.

Paper Details

Date Published: 3 November 2008
PDF: 9 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452N (3 November 2008); doi: 10.1117/12.813079
Show Author Affiliations
Yanwen Li, Chinese Academy of Surveying and Mapping (China)
Hohai Univ. (China)
Yonghong Zhang, Chinese Academy of Surveying and Mapping (China)
Yingbao Yang, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments

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