The polarized light scattered by the surface of a material contains information that can be used to describe the properties
of the surface. Polarized Bidirectional Reflectance Distribution Function (BRDF) is one of the most important factors
used to represent the property of the surface. It uses a 4×4 matrix (Mueller matrix) to describe the properties of the light
scattered from the surface. A polarized BRDF model based on the micro-facet theory is used in the numerical
simulation. The optical constant parameters contained in the model is derived from the experimental data through genetic
algorithm. Comparison between the model calculation and the experimental data shows that this model agrees well with
the experimental data, and can be used in the future work.
A portable compact lidar system was presented in this paper. The measurement results of lidar were compared with
the result measured by visibility sensor of vaisala and reliable and Aethalomete of Magee, so the reliable of the lidar
system was tested. The experimental results show good agreement. With the changing lidar ratios, the extinction
coefficient of aerosols in Hefei was derived.
Bidirectional Reflectance Distribution Function (BRDF ) has a wide use in surface detection and target recognition in the
surveillance system. There are many existing models used to validate experimental data and to represent the surface. In
order to make clearly the similarities and difference between the existing models, numerical simulation of several kind of
models were done, and the comparison and analysis between were made. To fit practicale application, a kind of new
model based on micro-facet theory was proposed. This model has both diffuse and specular components, which take into
account the geometrical effects such as masking and shadowing. The numerical simulation results are compared with the
experimental data obtained from a three-axis goniometer system on some typical materials. The comparison indicates
that this model fits well with experimental data and can satisfy practical use in a project.