The results of a study of several polarimetric target detection algorithms are summarized. The algorithms were tested using real target-in-clutter data collected by the Lincoln Laboratory 35 GHz synthetic aperture radar (SAR) sensor. Fully polarimetric measurements (HH, HV, VV) are processed into intensity imagery using adaptive and nonadaptive polarimetric whitening filters (PWFs). Then a two-parameter constant false alarm rate (CFAR) detector is run over the imagery to detect the targets. Nonadaptive PWF processed imagery is shown to provide better protection performance than either adaptive PWF processed imagery or single-polarimetric-channel HH imagery. In addition, nonadaptive PWF processed imagery is shown to be visually clearer than adaptive processed imagery.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal polarimetric processing for enhanced target detection


    Contributors:
    Novak, L.M. (author) / Burl, M.C. (author) / Irving, W.W. (author)


    Publication date :

    1993-01-01


    Size :

    1564549 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    On the performance of polarimetric target detection algorithms

    Chaney, R.D. / Bud, M.C. / Novak, L.M. | IEEE | 1990


    Adaptive Target Detection With Polarimetric FDA-MIMO Radar

    Lan, Lan / Rosamilia, Massimo / Aubry, Augusto et al. | IEEE | 2023


    Passive polarimetric IR target classification

    Sadjadi, F.A. / Chun, C.S.L. | IEEE | 2001