We have developed a highly accurate support vector machine (SVM) based detector capable of identifying jarosite (K, Na, H/sub 3/O)Fe/sub 3/ (SO/sub 4/)/sub 2/(OH)/sub 6/) in the visible/NIR (350-2500 nm) spectra of both laboratory specimens and rocks in Mars analogue field environments. To keep the computational complexity of the detector to a minimum, we restricted our design to an SVM with a linear kernel and a small number of support vectors. We used our generative model to create linear mixtures of end-member library spectra to train the SVM. We validated the detector on museum quality laboratory samples (97% accuracy) and field rock samples measured in both the laboratory and the field (both 88% accuracy). In the interest of technology infusion, the detector has been integrated into the CLARAty autonomous mobile robotics software architecture.


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    Title :

    Onboard detection of jarosite minerals with applications to Mars


    Contributors:
    Bornstein, B. (author) / Castano, R. (author) / Gilmore, M.S. (author) / Merrill, M. (author) / Greenwood, J.P. (author)

    Published in:

    Publication date :

    2006-01-01


    Size :

    459505 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English






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