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We have developed two automated detectors that can recognize the sulfate mineral jarosite in unknown visible to near-infrared spectra (350–2500 nm). The two detectors are optimized for use within the terrestrial and martian atmospheres. The detectors are built from Support Vector Machines trained using a generative model to create linear mixtures of library mineral spectra. Both detectors performed...
We have developed an artificial neural net detector for use on board Mars rovers that correctly identifies calcite under Mars analogue dust (JSC Mars-1 regolith simulant) layers up to ∼100 μm thickness and 80% aerial coverage. Both the detector output and the band depth of the ∼2300 nm CO =3 absorption are linearly related to the surface area of exposed calcite. This detector provides...
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