Research Papers

Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications

[+] Author Affiliations
Brent D. Bartlett, Michael G. Gartley, David W. Messinger, Carl Salvaggio, John R. Schott

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, NY 14623

J. Appl. Remote Sens. 4(1), 043552 (November 1, 2010). doi:10.1117/1.3518394
History: Received June 3, 2010; Revised October 22, 2010; Accepted October 27, 2010; November 1, 2010; Online November 01, 2010
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Abstract

For sensing systems that characterize the spectro-polarimetric radiance reaching the camera, the origin of the sensed phenomenology is a complex mixture of sources. While some of these sources do not contribute to the polarimetric signature, many do such as the polarization state of the downwelled sky radiance, the target and background p-BRDF(polarimetric bidirectional reflectance distribution function), the polarization state of the upwelled path radiance, and the sensor Mueller matrix transfer function. In this paper we derive portions of the p-BRDF in terms of both the spectral diffuse and polarimetric specular components of the reflectance using an in-scene calibration technique. This process is applied to simulated data, laboratory data, and data from a field collection. Spectra of a car panel for clean and contaminated states derived using laboratory data are injected into a hyperspectral image cube. It is shown how this target can be identified using a target specific tracking vector derived from its polarimetric signature as it moves between spatial locations within a scene.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Brent D. Bartlett ; Michael G. Gartley ; David W. Messinger ; Carl Salvaggio and John R. Schott
"Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications", J. Appl. Remote Sens. 4(1), 043552 (November 1, 2010). ; http://dx.doi.org/10.1117/1.3518394


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