In this paper a pBRDF (polarimetric Bidirectional Reflectance Distribution Function) model of painted surfaces coupled
with atmospheric polarization characteristics is built and the method of simulating polarimetric radiation reaching the
imaging system is advanced. Firstly, the composition of the radiation reaching the sensor is analyzed. Then, the pBRDF
model of painted surfaces is developed according to the microfacet theory presented by G. Priest and the downwelled
skylight polarization is modeled based on the vector radiative transfer model RT3. Furthermore, the modeled
polarization state of reflected light from the surfaces was achieved through integrating the directional polarimetric
information of the whole hemisphere, adding the modeled polarimetric factors of incident diffused skylight. Finally, the
polarimetric radiance reaching the sensor is summed up with the assumption that the target-sensor path is assumed to be
negligible since it is relatively short in the current imaging geometry. The modeled results are related to the solar-sensor
geometry, atmospheric conditions and the features of the painted surfaces. This result can be used to simulate the
imaging under different weather conditions and further work for the validation experiments of the model need to be done.
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