A major challenge in astronomical imaging is to characterize objects that are spatially non-resolvable. We consider here an approach for identifying non-resolvable space objects such as satellites or debris using compressive spectro-polarimetric imaging. In particular, deblurring algorithms are described for mitigating the effects of atmospheric turbulence blurring on such images.

© 2014 Optical Society of America

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