Abstract

We design an experiment of using volume hologram filters with telephoto objectives to detect solar-illuminated artificial satellite under strong daylight background noise. Results verify the suppression of background noise and enhancement in overall signal–to–noise ratio(SNR).

© 2014 Optical Society of America

PDF Article  |   Presentation Video
More Like This
Detection of Artificial Satellites Using Optimized Volume Hologram Filters

Hanhong Gao, Jonathan M. Watson, Joseph Scott Stuart, and George Barbastathis
DW5A.4 Digital Holography and Three-Dimensional Imaging (DH) 2013

Volume Hologram Filter Design for Mitigation of Daytime Sky Brightness in Satellite Detection

Hanhong Gao and George Barbastathis
FTh2F.3 Frontiers in Optics (FiO) 2012

Compressive imaging through turbid media combining two axially Bragg-filtered digital holograms

Wensheng Chen, Zhi Chen, Shakil Rehman, and George Barbastathis
DTu2B.5 Digital Holography and Three-Dimensional Imaging (DH) 2014

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

Presentation Video

Conference videos freely accessible until 30 June 2021 and available to subscribers only thereafter.

More Like This
Detection of Artificial Satellites Using Optimized Volume Hologram Filters

Hanhong Gao, Jonathan M. Watson, Joseph Scott Stuart, and George Barbastathis
DW5A.4 Digital Holography and Three-Dimensional Imaging (DH) 2013

Volume Hologram Filter Design for Mitigation of Daytime Sky Brightness in Satellite Detection

Hanhong Gao and George Barbastathis
FTh2F.3 Frontiers in Optics (FiO) 2012

Compressive imaging through turbid media combining two axially Bragg-filtered digital holograms

Wensheng Chen, Zhi Chen, Shakil Rehman, and George Barbastathis
DTu2B.5 Digital Holography and Three-Dimensional Imaging (DH) 2014