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Proceedings Paper

Mobile vehicle ATR for a medium resolution SAR
Author(s): James H. Hughen; Barry A. Kahn; J. Lee Dixon
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Paper Abstract

A database of 2 by 2 foot resolution ISAR images and flight data SAR images of the same vehicles has been used to compare the performance of several SAR algorithms for critical mobile target ATR. Algorithms evaluated include a full image nearest neighbor classifier, a nearest neighbor classifier using principal components image compression, a simple, reduced-dimension classifier where the features correspond to projections of the image onto the principal axes of the imaged object, and a MACE variant composite filter.

Paper Details

Date Published: 14 June 1996
PDF: 10 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243160
Show Author Affiliations
James H. Hughen, Lockheed Martin Electronics & Missiles (United States)
Barry A. Kahn, Lockheed Martin Electronics & Missiles (United States)
J. Lee Dixon, Lockheed Martin Electronics & Missiles (United States)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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