Abstract

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

PDF Article

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription