3 November 2008 SAR optimal polarization analysis based on polarization synthesis
Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71452N (2008) https://doi.org/10.1117/12.813079
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
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.
Yanwen Li, Yanwen Li, Yonghong Zhang, Yonghong Zhang, Yingbao Yang, Yingbao Yang, } "SAR optimal polarization analysis based on polarization synthesis", 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; https://doi.org/10.1117/12.813079
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