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Proceedings Paper

Anomaly detection of man-made objects using spectropolarimetric imagery
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Paper Abstract

In the task of automated anomaly detection, it is desirable to find regions within imagery that contain man-made structures or objects. The task of separating these signatures from the scene background and other naturally occurring anomalies can be challenging. This task is even more difficult when the spectral signatures of the man-made objects are designed to closely match the surrounding background. As new sensors emerge that can image both spectrally and polarimetrically, it is possible to utilize the polarimetric signature to discriminate between many types of man-made and natural anomalies. One type of passive imaging system that allows for spetro-polarimetric data to be collected is the pairing of a liquid crystal tunable filter (LCTF) with a CCD camera thus creating a spectro-polarimetic imager (SPI). In this paper, an anomaly detection scheme is implemented which makes use of the spectral Stokes imagery collected by this sensing system. The ability for the anomaly detector to find man-made objects is assessed as a function of the number of spectral bands available and it is shown that low false alarm rates can be achieved with relatively few spectral bands.

Paper Details

Date Published: 20 May 2011
PDF: 7 pages
Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80480B (20 May 2011); doi: 10.1117/12.884167
Show Author Affiliations
Brent D. Bartlett, Rochester Institute of Technology (United States)
Ariel Schlamm, Rochester Institute of Technology (United States)
Carl Salvaggio, Rochester Institute of Technology (United States)
David W. Messinger, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8048:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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