Share Email Print

Proceedings Paper

Intraclass variablity in ATR systems
Author(s): Raj K. Bhatnagar; Ronald L. Dilsavor; Mark Minardi; Dax Pitts
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper we describe the results of our investigation into the intra-class variability of a vehicle class (T-72 Tanks) from the perspective of an Automatic Target Recognition system. We examine the performance of synthesized vehicle models for ATR systems and demonstrate that these models fall within the bounds of the vehicle class set by the intra-class variability of the vehicle. We then demonstrate the relevance of the mean-square-error between an image chip and a template as a useful measure of distance between the two vehicles. We also show that it is possible to constitute a superior class representative and classifier by combining chips from two different vehicles while constructing the templates.

Paper Details

Date Published: 15 September 1998
PDF: 13 pages
Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321842
Show Author Affiliations
Raj K. Bhatnagar, Univ. of Cincinnati (United States)
Ronald L. Dilsavor, Sverdrup Technology, Inc. (United States)
Mark Minardi, Air Force Research Lab. (United States)
Dax Pitts, Univ. of Cincinnati (United States)

Published in SPIE Proceedings Vol. 3370:
Algorithms for Synthetic Aperture Radar Imagery V
Edmund G. Zelnio, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?