Six-parameter polarized BRDF Models were used to describe spectropolarimetric BRDF of cement board with experimental data. The nonlinear model parameters were obtained by genetic algorithm. The results show that the genetic algorithm has better performance and can get the nonlinear model parameters accurately. Through modeling analysis: cement board within visible spectrum shows the anisotropic characteristic, which is in consistency with the distribution regularity of polarized reflectance ratio factor of the target. In the region of the forward scattering, polarization are greatly influenced by observation geometry. Observing zenith Angle is smaller, the lower the degree of polarization, and with the increase of observing zenith Angle, polarization degree also increased gradually in the the principal plane. In back scattering range, there is also a local hot spot in the direction of the light source.
In view of the problem of attenuation or polarization state change caused by atmospheric radiation transmission in the long-distance path transmission of target polarization information, the atmospheric polarization characteristics based on atmospheric vector radiative transmission are studied, and the polarization characteristic modeling is completed. First using rough sea surface Cox-Munk model and Fresnel reflection law to simulate the real sea surface radiation state, determine the environmental data needed for the simulation, then based on radiation transmission simulation tools analysis of atmospheric Rayleigh scattering and aerosol scattering influence on the polarization radiation state, finally with the sea surface radiation state coupling get atmospheric top polarization radiation state. In order to verify the correctness of the proposed modeling method, the modeling results of this method are compared with the data actually obtained by the polarization detector of DPC. The results show that the overall trend and consistency of the observed and simulated values are good. This method can effectively simulate the polarization characteristics of the sea atmosphere in sunny and cloudy weather and provide good data support for the offshore polarization detection in sunny and cloudy weather conditions.
To overcome the draw back of traditional false color fusion methods for polarization images , a new false color fusion method is proposed in this paper.Firstly, all of the polarization parameter images are obtained by polarization information analysis.Then the robustness of the obtained polarization information is estimated by the spatial distribution characteristics of the polarization angle. Finally, an alternate mapping for the strong polarization characteristic region ( the target region) and the noise region (the background region) is accomplished.The experimental results show that the proposed method has good quality and is easy to be further segmented and identified.
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