Proceedings PaperAutomatic Target Identification Of Blurred Images With Super-Resolution Features
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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.