In general, the task of identifying the shape, function, and status of objects from nonimaging temporally-resolved spectral data is impossible. This is due to the limited degrees of freedom in the data as compared to the degrees of freedom that define shape, function, and status. However, by modeling objects as combinations of simple shapes with simple reflective and spectral characteristics, the problem though daunting is expected to become tractable due ...
Previous work with laboratory and field observations and computer simulations suggests that classes of spacecraft can be distinguished on the basis of their color or spectral properties. Empirical results also indicate that accounting for systematic effects reduces much of the observed scatter and thus increases separability of the classes. We seek to gain an understanding of the basic properties of satellite features that determine the spectral characteristics of individual satellites: ...
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