Automatic Target Identification Of Blurred Images With Super-Resolution Features

John M. Fitts

doi:10.1117/12.959487

1 January 1980 Automatic Target Identification Of Blurred Images With Super-Resolution Features

John M. Fitts

Proceedings Volume 0252, Smart Sensors II; (1980) https://doi.org/10.1117/12.959487
Event: 24th Annual Technical Symposium, 1980, San Diego, United States

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.

Citation Download Citation

John M. Fitts "Automatic Target Identification Of Blurred Images With Super-Resolution Features", Proc. SPIE 0252, Smart Sensors II, (1 January 1980); https://doi.org/10.1117/12.959487

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