Title

Efficient adaptive subspace tracking algorithm for automatic target recognition

Authors

Authors

P. Ragothaman; T. Yang; W. B. Mikhael; R. R. Muise;A. Mahalanobis

Comments

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Abbreviated Journal Title

Electron. Lett.

Keywords

Engineering, Electrical & Electronic

Abstract

Automatic target recognition using quadratic correlation filters has been reported recently It requires the eigenvalue decomposition (EVD) of a large matrix computed using the autocorrelation matrices of target and clutter training images. In practice, situations arise where new images need to be incorporated, which perturbs the EVD. Proposed is a novel computationally efficient method to obtain the new EVD adaptively. Sample results using an infrared dataset illustrate the effectiveness of the technique.

Journal Title

Electronics Letters

Volume

42

Issue/Number

20

Publication Date

1-1-2006

Document Type

Article

DOI Link

http://dx.doi.org/10.1049/el:20061641

Language

English

First Page

1183

Last Page

1185

WOS Identifier

WOS:000241715800035

ISSN

0013-5194

Recommended Citation

"Efficient adaptive subspace tracking algorithm for automatic target recognition" (2006). Faculty Bibliography 2000s. 6488.
https://stars.library.ucf.edu/facultybib2000/6488