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Proceedings Paper

Supersampling multiframe blind deconvolution resolution enhancement of adaptive-optics-compensated imagery of LEO satellites
Author(s): David R. Gerwe; David J. Lee; Jeffrey D. Barchers
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Paper Abstract

A post-processing methodology for reconstructing undersampled image sequences with randomly varying blur is described which can provide image enhancement beyond the sampling resolution of the sensor. This method is demonstrated on simulated imagery and on adaptive optics compensated imagery taken by the Starfire Optical Range 3.5 meter telescope that has been artificially undersampled. Also shown are the results of multiframe blind deconvolution of some of the highest quality optical imagery of low earth orbit satellites collected with a ground based telescope to date. The algorithm used is a generalization of multiframe blind deconvolution techniques which includes a representation of spatial sampling by the focal plane array elements in the forward stochastic model of the imaging system. This generalization enables the random shifts and shape of the adaptive compensated PSF to be used to partially eliminate the aliasing effects associated with sub- Nyquist sampling of the image by the focal plane array. The method could be used to reduce resolution loss which occurs when imaging in wide FOV modes.

Paper Details

Date Published: 31 October 2000
PDF: 19 pages
Proc. SPIE 4091, Imaging Technology and Telescopes, (31 October 2000); doi: 10.1117/12.405776
Show Author Affiliations
David R. Gerwe, Boeing Laser and Electro-Optics (United States)
David J. Lee, Air Force Research Lab. (United States)
Jeffrey D. Barchers, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4091:
Imaging Technology and Telescopes
James W. Bilbro; James B. Breckinridge; Mark J. Eckart; James B. Breckinridge; Richard A. Carreras; Richard A. Carreras; James W. Bilbro; Stanley R. Czyzak; Robert D. Fiete; Mark J. Eckart; Robert D. Fiete; Paul S. Idell, Editor(s)

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