The Use of Pattern Theory in Spectral Analysis of Surface Units

Mathematics – Logic

Scientific paper

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Clementine, Mare Crisium, Pattern Theory, Spectral Analysis, Surface Units

Scientific paper

Although evaluating the complexity of physical processes that shape planetary surfaces is often beyond the capability of any individual approach, remote sensing techniques are used quite commonly and successfully for the compositional analysis and mapping of remote surface units, and determining their stratigraphic relations. Image processing tools play a key role in the successful analysis and interpretation. With the strong physical basis for diagnostic spectral properties of rocks and minerals as background, multispectral information for small areas or separate groups of pixels can often be interpreted directly. However the geologic context and study of all spectral variability pixel by pixel for a whole region is quite impractical and requires tools that can both manipulate large image-cube arrays of data while applying analysis criteria that can be accurately interpreted. Spectral mixing analysis is one such approach, but it lacks the ability to distinguish the subtle but important details of spectra variability related to composition. Specific information about composition and physical processes active on the surface are generally deduced from the results.

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