Abstract

We report on the application of Optical Flow (OF) and state-of-the art multi-frame Super-Resolution (SR) algorithms to imagery that models space objects (SOs). Specifically, we demonstrate the ability to track SOs through sequences consisting of tens of images using different OF algorithms and show dependence of the tracking accuracy on illumination condition changes and on the values of pixel displacements between neighboring images. Additionally, we demonstrate spatial acuity enhancement of the pixel limited resolution of SO motion imagery by applying a novel SR algorithm accounting for OF errors.

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