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Proceedings Paper

Classification using active polarimetry
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Paper Abstract

Active (Mueller matrix) remote sensing is an under-utilized technique for material discrimination and classication. A full Mueller matrix instrument returns more information than a passive (Stokes) polarimeter; Mueller polarimeters measure depolarization and other linear transformations that materials impart on incident Stokes vectors, which passive polarimeters cannot measure. This increase in information therefore allows for better classication of materials (in general). Ideally, material classication over the entire polarized BRDF is desired, but sets of Mueller matrices for dierent materials are generally not separable by a linear classier over elevation and azimuthal target angles. We apply non-linear support vector machines (SVM) to classify materials over BRDF (all relevant angles) and show variations in receiver operator characteristic curves with scene composition and number of Mueller matrix channels in the observation.

Paper Details

Date Published: 11 June 2012
PDF: 13 pages
Proc. SPIE 8364, Polarization: Measurement, Analysis, and Remote Sensing X, 83640S (11 June 2012); doi: 10.1117/12.922623
Show Author Affiliations
Israel J. Vaughn, College of Optical Sciences, The Univ. of Arizona (United States)
Advanced Optical Technologies (United States)
Brian G. Hoover, Advanced Optical Technologies (United States)
J. Scott Tyo, College of Optical Sciences, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 8364:
Polarization: Measurement, Analysis, and Remote Sensing X
David B. Chenault; Dennis H. Goldstein, Editor(s)

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