Statistics – Applications
Scientific paper
May 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.6958e..14d&link_type=abstract
Sensors and Systems for Space Applications II. Edited by Howard, Richard T.; Motaghedi, Pejmun. Proceedings of the SPIE, Volume
Statistics
Applications
Scientific paper
Sparse-aperture (SA) telescopes are a technology of interest in the field of remote sensing. Significant optical resolution can be achieved by an array of sub-apertures, mitigating size and weight limitations of full aperture space-deployed sensors. Much of the analysis to date has been done with the assumption that an extended scene is spectrally flat and each pixel has the same spectrum (gray-world assumption). Previous work has found the gray-world assumption is not valid when imaging a spectrally diverse scene and/or when the optical configuration is heavily aberrated. Broadband phase diversity (BPD) is an image-based method to detect the aberrations of a system. It also assumes a gray-world. Digital simulations that quantify the limitations of BPD with respect to spectral diversity of the extended scene, the RMS of the optical path difference (OPD), noise of the system, and band width of the sensor are presented.
Bolcar Matthew R.
Daniel Brian J.
Fienup James R.
Schott John R.
No associations
LandOfFree
Phase retrieval in sparse aperture systems with phase diversity: a trade space study does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Phase retrieval in sparse aperture systems with phase diversity: a trade space study, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Phase retrieval in sparse aperture systems with phase diversity: a trade space study will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1077447