Paper
18 November 2014 Parameters inversing of polarized bidirectional reflectance distribution function model for target rough surface
Qing Liu, Yong-hong Zhan, Di Yang, Chang-e Zeng
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Abstract
In this paper, we try to find a model that can apply to predict the polarization characteristics of the targets on the ground correctly. In the first place, we give an introduction to several kinds of existing models which are divided into three categories: Empirical models are precise but occupy too much source of computer; Physical-based models can predict the phenomenon of reflection exactly but hardly get the final results; Semi-empirical models have both advantages mentioned above and avoid their disadvantages effectively. Then we make an analysis of the Priest-Germer(PG)pBRDF model, one of semi-empirical models, which is suitable for our study. The methods of parameters inversing and testing are proposed based on this model and the test system from which we can get enough data to verify the accuracy of the model is designed independently. At last, we make a simulation of the whole process of the parameters inversing based on PG pBRDF model. From the analysis of the simulation curves, we briefly know the direction we go in the following work to make an amendment.
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Qing Liu, Yong-hong Zhan, Di Yang, and Chang-e Zeng "Parameters inversing of polarized bidirectional reflectance distribution function model for target rough surface", Proc. SPIE 9299, International Symposium on Optoelectronic Technology and Application 2014: Optical Remote Sensing Technology and Applications, 92990W (18 November 2014); https://doi.org/10.1117/12.2072326
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KEYWORDS
Bidirectional reflectance transmission function

Data modeling

Polarization

Scattering

Target detection

Refractive index

Polarimetry

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