Endmember subspace estimation algorithms applied to hyperspectral images of small scale hydrothermal alteration
نویسندگان
چکیده
I. INTRODUCTION Hyperspectral imaging from aerial and satellite based instruments is an increasingly common tool for the exploration and identification of key geological targets on the Earth and Mars. Hydrothermal environments are one such target of interest to both terrestrial and extra-terrestrial geologists. The Mars scientific community are especially interested in identifying regions of hydrothermal alteration on the planet's surface as potential indicators of previously habitable environments [1]. Hydrothermal environments on the Earth are seen to exhibit significant spectral variation over spatial scales as small as 1 metre. The smallest pixel resolution VNIR hyperspectral data currently available from Mars comes from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument on the Mars Reconnaissance Orbiter which returns standard data with minimum pixel dimensions of ~ 18m
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