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Proceedings Paper

Model-based superresolution CSO processing
Author(s): John T. Reagan; Theagenis J. Abatzoglou
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Paper Abstract

This is a description of a model-based maximum likelihood estimation technique for determining the position and intensities of closely spaced objects (CSO's) present in the focal plane of a forward-looking infrared (FLIR) sensor. The object model considered here is approximate point sources; we present a methodology to superresolve two point sources separated closer than the Rayleigh resolution criteria. The Cramer-Rao theoretical lower bound is derived in closed form; the variance of the proposed estimator will be compared to this bound to verify its superresolving capability. Simulation results are presented for medium and high signal-to-noise (Gaussian noise) ratios and source separations.

Paper Details

Date Published: 22 October 1993
PDF: 15 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157809
Show Author Affiliations
John T. Reagan, Lockheed Missiles & Space Co. (United States)
Theagenis J. Abatzoglou, Lockheed Missiles & Space Co. (United States)

Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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