Polarization components analysis for invariant discrimination

Brian G. Hoover, J Scott Tyo

Research output: Contribution to journalArticle

25 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)8364-8373
Number of pages10
JournalApplied Optics
Volume46
Issue number34
DOIs
StatePublished - Dec 1 2007

Fingerprint

discrimination
textures
Textures
Polarization
Polarimeters
Lasers
paints
polarimeters
polarization
principal components analysis
Paint
Principal component analysis
lasers
Heating
heating
polymers
Polymers
matrices

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Polarization components analysis for invariant discrimination. / Hoover, Brian G.; Tyo, J Scott.

In: Applied Optics, Vol. 46, No. 34, 01.12.2007, p. 8364-8373.

Research output: Contribution to journalArticle

Hoover, Brian G. ; Tyo, J Scott. / Polarization components analysis for invariant discrimination. In: Applied Optics. 2007 ; Vol. 46, No. 34. pp. 8364-8373.
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