The authors' system uses a camera that acquires registered images in six spectral bands and a supervised-learning algorithm to detect metal and plastic land mines. Results show that even with a small sample size, the detection performance is good and holds promise for future work with larger data sets.


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    Title :

    Multispectral image feature selection for land mine detection


    Contributors:
    Clark, G.A. (author) / Sengupta, S.K. (author) / Aimonetti, W.D. (author) / Roeske, F. (author) / Donetti, J.G. (author)

    Published in:

    Publication date :

    2000


    Size :

    8 Seiten, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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