Polarization components analysis for invariant discrimination
Applied Optics, Vol. 46, Issue 34, pp. 8364-8373 (2007)
http://dx.doi.org/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.
© 2007 Optical Society of America
OCIS Codes
(260.5430) Physical optics : Polarization
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(280.3420) Remote sensing and sensors : Laser sensors
(290.1350) Scattering : Backscattering
(290.5820) Scattering : Scattering measurements
(240.2130) Optics at surfaces : Ellipsometry and polarimetry
ToC Category:
Ellipsometry and Polarimetry
History
Original Manuscript: June 7, 2007
Revised Manuscript: October 18, 2007
Manuscript Accepted: October 23, 2007
Published: November 30, 2007
Citation
Brian G. Hoover and J. Scott Tyo, "Polarization components analysis for invariant discrimination," Appl. Opt. 46, 8364-8373 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-34-8364
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