Efficient adaptive subspace tracking algorithm for automatic target recognition

    Authors

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

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    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

    Language

    English

    First Page

    1183

    Last Page

    1185

    WOS Identifier

    WOS:000241715800035

    ISSN

    0013-5194

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