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Proceedings Paper

Robust detection and spectrum estimation of multiple sources from rotating-prism spectrometer images
Author(s): Ross Deming; Shawn Higbee; Derek Dwyer; Michael Welser; Leonid Perlovsky; Paul Pellegrini
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Paper Abstract

We describe a new approach for performing pseudo-imaging of point energy sources from spectral-temporal sensor data collected using a rotating-prism spectrometer. Pseudo-imaging, which involves the automatic localization, spectrum estimation, and identification of energetic sources, can be difficult for dim sources and/or noisy images, or in data containing multiple sources which are closely spaced such that their signatures overlap, or where sources move during data collection. The new approach is specifically designed for these difficult cases. It is developed within an iterative, maximum-entropy, framework which incorporates an efficient optimization over the space of all model parameters and mappings between image pixels and sources, or clutter. The optimized set of parameters is then used for detection, localization, tracking, and identification of the multiple sources in the data. The paper includes results computed from experimental data.

Paper Details

Date Published: 29 September 2006
PDF: 12 pages
Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 636502 (29 September 2006); doi: 10.1117/12.689105
Show Author Affiliations
Ross Deming, Consultant, General Dynamics, AFRL/SNHE (United States)
Shawn Higbee, Air Force Research Lab. (United States)
Derek Dwyer, Air Force Research Lab. (United States)
Michael Welser, Air Force Research Lab. (United States)
Leonid Perlovsky, Air Force Research Lab. (United States)
Paul Pellegrini, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6365:
Image and Signal Processing for Remote Sensing XII
Lorenzo Bruzzone, Editor(s)

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