Target detection with synthetic aperture radar (SAR) is considered. We derive generalized likelihood ratio (GLR) detection algorithms that may be used with SAR images that are obtained with coherent subtraction or have Gaussian distributions. We analytically compare the performance of (1) a single pixel detector, (2) a detector using complete knowledge of the target signature information and known orientation information, (3) a detector using incomplete knowledge of the target signature information and known orientation information (4) a detector using unknown target signature information and known orientation information, and (5) a detector using unknown target signature information and unknown orientation information.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Target detection with synthetic aperture radar


    Contributors:
    Jian Li, (author) / Zelnio, E.G. (author)


    Publication date :

    1996-04-01


    Size :

    2692036 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Target Detection with Synthetic Aperture Radar

    Li, J. | Online Contents | 1996


    Target detection accuracy improvement in synthetic aperture radar

    Kargin, S. / Kartal, M. / Kurnaz, S. | IEEE | 2003


    Bistatic synthetic aperture radar with application to moving target detection

    Whitewood, A.P. / Muller, B.R. / Griffiths, H.D. et al. | Tema Archive | 2003



    Target Motion Ambiguities in Single-Aperture Synthetic Aperture Radar

    Chapman, R.D. / Hawes, C.M. / Nord, M.E. | IEEE | 2010