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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    Title :

    Hyperspectral sensor testbed for real-time algorithm evaluation


    Contributors:


    Publication date :

    2002-01-01


    Size :

    1103959 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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