Exploiting Spectral Correlations for Segmentation and Shape Determination from Hyperspectral Datacubes of Rotating Satellites

Physics

Scientific paper

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Scientific paper

We present simulation-based studies of a spectral correlation approach to segment and disambiguate materials on the surface of a satellite from its hyperspectral image (HSI) data. The kinematical evolution of the segment boundaries as inferred from a time series of poses of a rotating satellite contains unique signatures - and should thus enable the extraction - of the rotational parameters and local surface morphology of the object for the purposes of SOI. As a first step in the realization of this goal, we demonstrate the uniqueness of recovery of the geometrical shape, orientation, and linear dimensions of a simple 3D object from the 2D line-of-sight projections of curves on its surface when these projections are given for two poses of the object.

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