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Proceedings Paper

Automatic Target Identification Of Blurred Images With Super-Resolution Features
Author(s): John M. Fitts
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Paper Abstract

Techniques are presented which extend pattern classification techniques beyond the traditional high-resolution, high-contrast imagery cases. In particular, smart sensors can now be designed to operate with poorer quality imagery resulting from various blurring phenomena including diffraction limiting aperture effects, poor quality optical effects, and atmospheric turbulence effects. This results in smaller aperture electro-optical smart sensors at lower cost and with increased reliability and maintainability, characteristics.

Paper Details

Date Published: 1 January 1980
PDF: 9 pages
Proc. SPIE 0252, Smart Sensors II, (1 January 1980); doi: 10.1117/12.959487
Show Author Affiliations
John M. Fitts, John Fitts & Associates (United States)

Published in SPIE Proceedings Vol. 0252:
Smart Sensors II
David F. Barbe, Editor(s)

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