Polarization components analysis for invariant discrimination

Brian G. Hoover; J. Scott Tyo

doi:10.1364/AO.46.008364

Polarization components analysis for invariant discrimination

Brian G. Hoover, J. Scott Tyo

Optical Sciences, College of

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

Linear and nonlinear components analysis of data from a monostatic laser polarimeter is developed and applied to the task of remote, nonimaging discrimination among different textures on paint and polymer coupons independent of their spatial orientations. Both principal-components analysis and nonlinear components analysis are applied to multidimensional laser data in measured Mueller matrices, with discrimination via cluster segmentation in derived linear and nonlinear constant channels. Textures on the discriminated coupons are generated by heating and illustrated in optical micrographs.

Original language	English (US)
Pages (from-to)	8364-8373
Number of pages	10
Journal	Applied optics
Volume	46
Issue number	34
DOIs	https://doi.org/10.1364/AO.46.008364
State	Published - Dec 1 2007

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Engineering (miscellaneous)
Electrical and Electronic Engineering

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10.1364/AO.46.008364

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abstract = "Linear and nonlinear components analysis of data from a monostatic laser polarimeter is developed and applied to the task of remote, nonimaging discrimination among different textures on paint and polymer coupons independent of their spatial orientations. Both principal-components analysis and nonlinear components analysis are applied to multidimensional laser data in measured Mueller matrices, with discrimination via cluster segmentation in derived linear and nonlinear constant channels. Textures on the discriminated coupons are generated by heating and illustrated in optical micrographs.",

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AB - Linear and nonlinear components analysis of data from a monostatic laser polarimeter is developed and applied to the task of remote, nonimaging discrimination among different textures on paint and polymer coupons independent of their spatial orientations. Both principal-components analysis and nonlinear components analysis are applied to multidimensional laser data in measured Mueller matrices, with discrimination via cluster segmentation in derived linear and nonlinear constant channels. Textures on the discriminated coupons are generated by heating and illustrated in optical micrographs.

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Polarization components analysis for invariant discrimination

Abstract

ASJC Scopus subject areas

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