Share Email Print

Proceedings Paper

Phase diversity techniques for high-resolution active imaging
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

High-resolution imaging of space-based objects is, and has been, a topic of significant interest. Considerable effort has been expended to develop techniques for compensating or correcting image degradations caused by unknown aberrations, resulting in many successful approaches. However, current techniques are limited to scenarios where the object of interest is either naturally illuminated or is itself radiating. Active illumination using laser light can overcome this limitation, but the applicable coherence properties introduce additional challenges. To utilize laser illumination, a multi-frame phase-diversity image reconstruction algorithm tailored to the statistics of coherent light is developed. The reconstruction problem is posed in the form of a regularized optimization over the space of object pixel values and atmospheric aberration parameters. The optimization objective function is derived from the statistics of the detected light, and a regularization term including information encoded in the pupilplane intensity statistics is added to include additional knowledge and better condition the inverse problem. A representative coherent imaging system is simulated and reconstruction results are presented.

Paper Details

Date Published: 8 September 2006
PDF: 9 pages
Proc. SPIE 6307, Unconventional Imaging II, 630703 (8 September 2006); doi: 10.1117/12.680439
Show Author Affiliations
Peter M. Johnson, Air Force Institute of Technology (United States)
Matthew E. Goda, Air Force Institute of Technology (United States)
Victor L. Gamiz, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6307:
Unconventional Imaging II
Victor L. Gamiz; Paul S. Idell; Marija S. Strojnik, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?