Unmixing the Lunar Surface

Details Unmixing the Lunar Surface Unmixing the Lunar Surface

Jan 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002assl..278...87t&link_type=abstract

Solar System Remote Sensing, p. 87

Statistics

Applications

Spectral Mixture Analysis, Lunar Surface, Lithology, Reflectance, Algorithms, Remote Sensing, Image Processing, Spectra

Scientific paper

Spectral mixture analysis has been shown to be a powerful, multifaceted tool for the analysis of spectral image data. In this approach small areas thought to represent distinct lithologies are chosen within the image. The spectral properties of these representative 'endmembers' are then combined in a least-squares mixing algorithm to provide the best fit for each pixel within the image. Each pixel is thus represented by the proportion of each endmember required to minimize the difference between the model and the actual spectra. Applications to both lunar and terrestrial remote sensing include mapping soils and exposed bedrock and modeling surface processes.

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