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Proceedings Paper

A Color-Correlation Algorithm For A Low Resolution Two-Color Optical Sensor
Author(s): Andrew D. Hurt
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Paper Abstract

This paper presents an algorithm to correlate detections from a two-color low-resolution optical sensor. The algorithm is designed for a mosaic sensor consisting of two color detector arrays separated by a fixed distance. The scanning of the sensor provides two sets of detections separated in time by the quotient of the color detector array separation and the scan-rate. The correlation algorithm combines these two sets of data into a composite scan consisting of correlated pairs of two-color detections. The algorithm chooses candidate pairs for correlation by comparing the spatial separation of color pairs with the maximum computed separation. This maximum computed separation is a function of the maximum expected velocities, crossing angles, range, sensor scan-rate, and sensor color detector array separation. The algorithm then applies a redundant correlation resolution technique to eliminate cross-correlations from the list of candidate pairs. After all identifiable cross-correlations have been eliminated, the remaining pairs form the detections list. A star resolution algorithm that is based on an abs'ence of object motion is then applied to identify stars in the detections list. The algorithm is tested against statistical and deterministic point-source detection models. Algorithm precision in number of detections correctly correlated, cross-correlated, and wrongly correlated, and algorithm run-time on a VAX 11/780 are measured.

Paper Details

Date Published: 1 February 1987
PDF: 8 pages
Proc. SPIE 0641, Acquisition, Tracking, and Pointing, (1 February 1987); doi: 10.1117/12.964417
Show Author Affiliations
Andrew D. Hurt, System Development Corporation (United States)

Published in SPIE Proceedings Vol. 0641:
Acquisition, Tracking, and Pointing
Richard R. Auelmann; Herbert L. Richard, Editor(s)

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