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Proceedings Paper

Algorithm for automatic recognition of formations of moving targets
Author(s): Steven Allen Schwartz
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Paper Abstract

Interim results are presented for a novel approach to finding and recognizing formations in moving-target indicator (MTI) radar data by applying Bayesian methods from image processing. The salient features of an MTI datum are a point location and a range rate along the line of sight to the radar. Each of these values is measured with a random location and range-rate error that has known statistical properties. Formations may have inhomogeneous vehicular density as directed by doctrine. Measured formations have variability in realizations resulting from the maneuvering of individual vehicles within the formation, partial obscuration, and other factors.

Paper Details

Date Published: 3 April 2000
PDF: 11 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381655
Show Author Affiliations
Steven Allen Schwartz, Northrop Grumman Corp. (United States)

Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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