Hyperspectral imaging has proved to be a valuable tool for performing material based discrimination of targets in highly cluttered backgrounds. A next step for utilizing this technology is to integrate spectral and spatial discrimination algorithms for autonomous target recognition (ATR) applications. This paper describes a hardware and software testbed system for performing spectral/spatial ATR and presents initial results from a field test in the Anza-Borrego desert.


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    Titel :

    Hyperspectral sensor testbed for real-time algorithm evaluation


    Beteiligte:
    Jafolla, J. (Autor:in) / Dombrowski, M. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    1103959 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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