The challenge of automatic target recognition of military targets within a synthetic aperture radar scene is addressed in this paper. The proposed approach exploits the discrete-defined Krawtchouk moments, which are able to represent a detected extended target with few features, allowing its characterization. The proposed algorithm provides robust performance for target recognition, identification, and characterization, with high reliability in the presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.


    Access

    Download


    Export, share and cite



    Title :

    Automatic Target Recognition of Military Vehicles With Krawtchouk Moments


    Contributors:


    Publication date :

    2017-02-01


    Size :

    476209 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Asymptotic analysis of the Krawtchouk polynomials by the WKB method

    Dominici, D. | British Library Online Contents | 2008


    Sumudu transform based treatment of Krawtchouk polynomials and their integral zeros

    Alenezi, Ahmad M. / Belgacem, Fethi Bin Muhammad | American Institute of Physics | 2014


    Automatic cable testing for military combat vehicles

    Shilo, M. / Veedes, N.P. | Tema Archive | 1981


    MILITARY VEHICLES

    MILLER, MAJOR W. O. | SAE Technical Papers | 1953


    Automatic target recognition with Bayesian networks

    Liu, J. / Chang, K.-C. / International Federation of Automatic Control | British Library Conference Proceedings | 1997