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20 May 2011 Anomaly detection of man-made objects using spectropolarimetric imagery
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brent D. Bartlett, Ariel Schlamm, Carl Salvaggio, and David W. Messinger "Anomaly detection of man-made objects using spectropolarimetric imagery", Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80480B (20 May 2011); https://doi.org/10.1117/12.884167
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