A new 1-D template-based automatic target recognition (ATR) algorithm is developed and tested on high range resolution (HRR) profiles formed from synthetic aperture radar (SAR) images of targets taken from the Moving and Stationary Target Acquisition and Recognition (MSTAR) data set. In this work, a superresolution technique known as High Definition Vector Imaging (HDVI) is applied to the HRR profiles before the profiles are passed through ATR classification. The new I-D ATR system using HDVI demonstrates significantly improved target recognition compared with previous I-D ATR systems that use conventional image processing techniques. This improvement in target recognition is quantified by improvement in probability of correct classification (PCC). More importantly, the application of HDVI to HRR profiles helps to maintain the same ATR performance with reduced radar resource requirements.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Superresolution HRR ATR with high definition vector imaging


    Contributors:
    Nguyen, D. (author) / Benitz, G. (author) / Kay, J. (author) / Orchard, B. (author) / Whiting, R. (author)


    Publication date :

    2001-10-01


    Size :

    1487772 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Two methods marry for superresolution imaging

    British Library Online Contents | 2008


    Double helix-PSF enables superresolution 3-D imaging

    British Library Online Contents | 2009


    Radar Superresolution? Perhaps!

    Jackson, P.L. | IEEE | 1981


    Superresolution for EW Applications

    Frommer, R. / Advisory Group for Aerospace Research and Development; Sensor and Propagation Panel | British Library Conference Proceedings | 1996