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Optical Engineering

High-resolution algorithms for locating closely spaced objects via infrared focal-plane arrays
Author(s): Yasemin C. Yardimci; James A. Cadzow
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Paper Abstract

The location of a single point source in infrared imaging is typically achieved through conventional methods such as centroiding. More challenging problems with multiple point sources require alternative location-finding methods with the potential of resolving closely spaced objects. The authors introduce an algorithm predicated on least-squared-error (LSE) modeling with a Gram-Schmidt orthogonalization step. Its noise performance is compared with two other high-resolution algorithms based on the eigendecomposition of the input data. Estimates obtained through the LSE modeling approached the Cramer-Rao lower bound for high signal-to-noise ratios. However, its performance is severely degraded in the presence of non-Gaussian noise. An outlier detection scheme that may be used in conjunction with the location and amplitude estimation procedure is described, Its effectiveness is demonstrated through Monte Carlo simulations.

Paper Details

Date Published: 1 October 1994
PDF: 9 pages
Opt. Eng. 33(10) doi: 10.1117/12.179388
Published in: Optical Engineering Volume 33, Issue 10
Show Author Affiliations
Yasemin C. Yardimci, Bogazici Univ. (Turkey)
James A. Cadzow, Vanderbilt Univ. (United States)

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