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.
Onboard detection of jarosite minerals with applications to Mars
2006 IEEE Aerospace Conference ; 7 pp.
2006-01-01
459505 byte
Conference paper
Electronic Resource
English
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