Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > SRS > 1998 > STuB > STuB.2

Space Object Identification using a Physically Constrained Iterative Deconvolution Algorithm

Julian C. Christou, E. Keith Hege, Stuart M. Jefferies, and Matt Cheselka

Not Accessible

Your library or personal account may give you access

Abstract

A physically constrained iterative deconvolution algorithm is applied to both simulated and real artificial satellite (space object) observations obtained with adaptive optical systems. The problems associated with obtaining good point spread function information is discussed and the algorithm applied also permits reconstruction of not only the object but also the corresponding point spread functions.

© 1998 Optical Society of America

PDF Article
More Like This
Astronomical Results using Physically-Constrained Iterative Deconvolution

E. K. Hege, M. Cheselka, M. Lloyd-Hart, P. Hinz, W.F. Hoffmann, J.C. Christou, and S.M. Jefferies
STuB.3 Signal Recovery and Synthesis (SRS) 1998

Psf calibration in astronomical imaging - physical constraints for a noisy problem

E. Keith Hege
STuA.1 Signal Recovery and Synthesis (SRS) 1998

Multiframe iterative blind deconvolution using only a positivity constraint

David S. C. Biggs and Mark Andrews
STuA.3 Signal Recovery and Synthesis (SRS) 1998

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use