The Mars Surface Composition Detector (MarSCoDe) is impacted by the lack of energy supply, the ambient temperature outside, and the spectral line drift issue, which makes it very difficult to analyze flight and ground data together. The BEADS algorithm is used to eliminate the spectral baseline generated by ambient light, noise, dark background, and continuous radiation signals in the original spectrum. The influence of parameters like detecting distance, focusing level, and laser energy jitter can be reduced to the fullest extent through normalization processing. To determine the mineral types and quantitative evaluation of elements on the surface of Mars as much as possible, the team tested 35 national standard minerals and obtained1750 spectra in an effort to ascertain the types of minerals and quantitative evaluation of elements as possible on the surface of Mars.. A fuzzy decision of flight data based on assa-grnn is proposed and supported by the national standard mineral database on the ground. When combined with the decision results, the wavelength of the measured Mars data is modified twice, which supports the interpretation of flight data by laboratory data. Results demonstrate that assa-grnn can flawlessly improve the wavelength transfer between the ground database and flight data of MarSCoDe.
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