Multivariate classification of multispectral images: an application to ISM Martian spectra.

Astronomy and Astrophysics – Astrophysics

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Plantes And Satellites: Individual: Mars, Methods: Data Analysis, Observational, Techniques: Spectroscopic, Infrared: Solar System

Scientific paper

The powerful statistical multifactorial method Gmode is described and its application to the problem of the classification of multispectral imaging is discussed. An application to the classification of Martian multispectral data obtained by the imaging spectrometer ISM on board the spacecraft PHOBOS2 is presented; a test region is analysed in this paper, the region of Pavonis Mons. The application of Gmode to the classification of multispectral images has been found to be very promising. Automatic mapping of mineralogically different provinces can be performed using our classification procedure; also, it is possible to search for a specific spectral signature within an otherwise homogeneous region. The most important factors affecting ISM spectra were automatically identified by the Gmode classification as follows: 1)"Albedo" effects; 2) Atmospheric effects; 3) Slope and overall shape of the spectra.

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