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Proceedings Paper

Synthetic database for polarimetric imagery
Author(s): Tsong-Neng William Lin; Steven M. Shepard
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Paper Abstract

The use of polarization as the principal parameter in target recognition and clutter reduction typically requires numerous field measurements with linear and circular polarizers in order to obtain a complete set of polarimetric images for a given target. We have developed a method which reduces the number of necessary field measurements to characterize the polarization state of a given scene. In polarimetric analysis with a single linear polarizer inserted in the light sensing path, it is found that three polarimetric images are sufficient to characterize the observed light field. These images are taken with the polarizer oriented at two mutually orthogonal directions and their bisecting direction respectively. These three polarimetric images form a basis set which allows the scene at any arbitrary polarization angle to be reconstructed. A synthetic polarimetric image data base can be easily realized with only these three images rather than the huge storage and retrieval requirements for a true measured data base. The coherency matrix of a quasi-monochromatic light wave together with Stokes vector and Mueller matrix are used to deduce the minimum required measurements in constructing a synthetic data base. Examples of measured and derived images will be compared and discussed.

Paper Details

Date Published: 13 August 1993
PDF: 11 pages
Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993); doi: 10.1117/12.151060
Show Author Affiliations
Tsong-Neng William Lin, Wayne State Univ. (United States)
Steven M. Shepard, U.S. Army Tank-Automotive Command (United States)


Published in SPIE Proceedings Vol. 1967:
Characterization, Propagation, and Simulation of Sources and Backgrounds III
Wendell R. Watkins; Dieter Clement, Editor(s)

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