Share Email Print
cover

Optical Engineering

Parameterized blind deconvolution of laser radar imagery using an anisoplanatic optical transfer function
Author(s): Adam MacDonald; Stephen C. Cain
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

Gated laser radar imaging systems hold unique promise for long-distance remote sensing applications. Short-exposure speckle imagery from wide field-of-view (FOV) systems may be used to jointly estimate maximum likelihood estimates of the remote scene together with the atmospheric seeing condition parameterized by Fried's parameter. Previous research has indicated that employment of the short-exposure optical transfer function (OTF) within the deconvolution algorithm yields slightly pessimistic estimates of Fried's parameter. It was postulated that the short-exposure OTF included excessive high spatial frequency components when applied to wide FOV systems, yielding seeing condition estimates of the imaging scenario that were slightly lower than if the atmospheric conditions admitted an anisoplanatic system imaging model. To better estimate Fried's parameter, an anisoplanatic OTF (AOTF) was developed using a tilt-only phase correlation approximation. This AOTF was used together with the short-exposure OTF within the MAP algorithm, and estimated seeing conditions were compared for both simulated and experimental wide FOV scenarios. It was found that the additional anisoplanatic blur components modeled by the AOTF increased the accuracy of the estimation of Fried's parameter from 5% to within 2% using simulated imagery, and from 8.6% to within 2.9% using experimentally collected image data.

Paper Details

Date Published: 1 November 2006
PDF: 12 pages
Opt. Eng. 45(11) 116001 doi: 10.1117/1.2393021
Published in: Optical Engineering Volume 45, Issue 11
Show Author Affiliations
Adam MacDonald, Air Force Institute of Technology (United States)
Stephen C. Cain, Air Force Institute of Technology (United States)


© SPIE. Terms of Use
Back to Top