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Proceedings Paper

Study of the polarized characteristics of laser echo for rough surface based on PG model
Author(s): Qing Liu; Yong-hong Zhan; Di Yang; Change Zeng
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Paper Abstract

Imaging laser radar is a new type radar with vast potentials, that it can provide echo intensity image, range gating image, velocity image and three-dimensional image of the target at the same time. In order to improve its performance, to combine the polarization spectral detection technique with the imaging laser radar technique is worth studying. In this paper, the author studies the characteristics of laser echo using the method of modeling, as well as the theories of Stokes parameters and Mueller matrices. In the first place the author derives a polarized bidirectional reflectance distribution function (polarized BRDF) model that simulates the polarimetric of the laser echo from the basic theory with established scalar BRDF models. Then it makes a simulation of all the process of the model construction and compares the results to the experiment data. With the results of comparison it makes corrections of some parameters in the polarized model and obtains a relatively correct polarized model in the end. At last, the author induces the characteristics of laser echo with some main influence factors.

Paper Details

Date Published: 19 February 2015
PDF: 7 pages
Proc. SPIE 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014), 94491F (19 February 2015); doi: 10.1117/12.2076039
Show Author Affiliations
Qing Liu, Beijing Institute of Tracking and Telecommunication Technology (China)
Yong-hong Zhan, Beijing Institute of Tracking and Telecommunication Technology (China)
Di Yang, Beijing Institute of Tracking and Telecommunication Technology (China)
Change Zeng, Beijing Institute of Tracking and Telecommunication Technology (China)


Published in SPIE Proceedings Vol. 9449:
The International Conference on Photonics and Optical Engineering (icPOE 2014)
Ailing Tian; Anand Asundi; Weiguo Liu; Chunmin Zhang, Editor(s)

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