Enhanced material classification using turbulence-degraded polarimetric imagery
Optics Letters, Vol. 35, Issue 21, pp. 3601-3603 (2010)
http://dx.doi.org/10.1364/OL.35.003601
Enhanced HTML 
Acrobat PDF (384 KB)
Abstract
An enhanced material-classification algorithm using turbulence-degraded polarimetric imagery is presented. The proposed technique improves upon an existing dielectric/metal material-classification algorithm by providing a more detailed object classification. This is accomplished by redesigning the degree-of-linear-polarization priors in the blind-deconvolution algorithm to include two subclasses of metals—an aluminum group classification (includes aluminum, copper, gold, and silver) and an iron group classification (includes iron, titanium, nickel, and chromium). This new classification provides functional information about the object that is not provided by existing dielectric/metal material classifiers. A discussion of the design of these new degree-of-linear-polarization priors is provided. Experimental results of two painted metal samples are also provided to verify the algorithm’s accuracy.
© 2010 Optical Society of America
OCIS Codes
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
(100.1455) Image processing : Blind deconvolution
(280.4991) Remote sensing and sensors : Passive remote sensing
(110.5405) Imaging systems : Polarimetric imaging
ToC Category:
Remote Sensing and Sensors
History
Original Manuscript: June 15, 2010
Revised Manuscript: September 27, 2010
Manuscript Accepted: October 2, 2010
Published: October 21, 2010
Citation
Milo W. Hyde, IV, Jason D. Schmidt, Michael J. Havrilla, and Stephen C. Cain, "Enhanced material classification using turbulence-degraded polarimetric imagery," Opt. Lett. 35, 3601-3603 (2010)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-35-21-3601
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Multichannel blind deconvolution of polarimetric imagery (JOSAA)
- Measured comparison of the crossover periods for mid- and long-wave IR (MWIR and LWIR) polarimetric and conventional thermal imagery (OE)
- Crosswind sensing from optical-turbulence-induced fluctuations measured by a video camera (AO)
- Probability theory for 3-layer remote sensing radiative transfer model: univariate case (OE)
- Passive 77 GHz millimeter-wave sensor based on optical upconversion (AO)
Related Conference Papers
- Solving Propagation Problems in Turbulence Using Filter Functions and Mellin Transforms
- Scintillation and Phase Anisoplanatism in Shack-Hartmann Wavefront Sensing
- Optimality, Observers and Controllers in Adaptive Optics
- Atmospheric Turbulence Outer Scale Profile for MCAO Specifications
- Atmospheric Turbulence Outer Scale Profile for MCAO Specifications
« Previous Article | Next Article »
OSA is a member of 