Thermal correction of HVM3 imaging spectrometer data(NPO-53083-1)

We apply a Bayesian model inversion approach to disentangle the temperature-dependent thermal emission signal and the solar-reflected portion, enabling thermally-corrected surface reflectance maps for instruments like JPL's High Resolution Volatiles and Minerals Mapper for the Moon (HVM3). The Bayesian strategy makes the ill-posed problem tractable by introducing background information about "legal" surface reflectance values in the form of a loose statistical prior developed from library spectra.