Automatic target recognition employing signal compression

    Authors

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

    Comments

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    Abbreviated Journal Title

    Appl. Optics

    Keywords

    CORRELATION FILTERS; IMAGERY; TRANSFORM; RADAR; MODEL; Optics

    Abstract

    Quadratic correlation filters (QCFs) have been used successfully to detect and recognize targets embedded in background clutter. Recently, a QCF called the Rayleigh quotient quadratic correlation filter (RQQCF) was formulated for automatic target recognition (ATR) in IR imagery. Using training images from target and clutter classes, the RQQCF explicitly maximized a class separation metric. What we believe to be a novel approach is presented for ATR that synthesizes the RQQCF using compressed images. The proposed approach considerably reduces the computational complexity and storage requirements while retaining the high recognition accuracy of the original RQQCF technique. The advantages of the proposed scheme are illustrated using sample results obtained from experiments on IR imagery. (c) 2007 Optical Society of America.

    Journal Title

    Applied Optics

    Volume

    46

    Issue/Number

    21

    Publication Date

    1-1-2007

    Document Type

    Article

    Language

    English

    First Page

    4702

    Last Page

    4711

    WOS Identifier

    WOS:000248138500022

    ISSN

    1559-128X

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