Classification using active polarimetry

Israel J. Vaughn, Brian G. Hoover, J. Scott Tyo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationPolarization
Subtitle of host publicationMeasurement, Analysis, and Remote Sensing X
DOIs
StatePublished - Dec 1 2012
EventPolarization: Measurement, Analysis, and Remote Sensing X - Baltimore, MD, United States
Duration: Apr 23 2012Apr 24 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8364
ISSN (Print)0277-786X

Other

OtherPolarization: Measurement, Analysis, and Remote Sensing X
CountryUnited States
CityBaltimore, MD
Period4/23/124/24/12

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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