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Proceedings Paper

Algorithms For Estimating Image Position
Author(s): M. Elbaum; N. Orenstein; J. MacEachin
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Paper Abstract

Using spatial images as the target signatures, we evaluate qualitatively the effects of target fading and signal- and background-generated shot noise on the accuracy and precision of estimates of target angular position (TAP). The estimates are derived from the photocounts registered by an array of detectors that sense image radiation noncoherently. The semi-classical theory of photocounting is used to relate the statistics of image radiation to the statistics of photocounts at the output of photodetectors. The photocounting statistics are taken to be Poisson and negative binomial for the limiting cases of self-luminous and laser-illuminated targets, respectively; the number of degrees of freedom associated with the negative binomial distribution provides a convenient measure of signal coherence. Preliminary analysis, with the help of the computer simulations, has established that performance of the TAP estimates (or algorithms) depends upon target fading which is, in turn, a function of target coherence and geometry. This dependence on target fading is most pronounced for the class of algorithms which employ the entire image to estimate its angular position (rather than only the image edge).

Paper Details

Date Published: 1 January 1980
PDF: 7 pages
Proc. SPIE 0252, Smart Sensors II, (1 January 1980); doi: 10.1117/12.959489
Show Author Affiliations
M. Elbaum, Riverside Research Institute (United States)
N. Orenstein, Riverside Research Institute (United States)
J. MacEachin, Riverside Research Institute (United States)

Published in SPIE Proceedings Vol. 0252:
Smart Sensors II
David F. Barbe, Editor(s)

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