Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based Imagery.

Abstract : This project combined pattern recognition, image understanding and artificial intelligence techniques for space-based image processing. A special feature of this effort is the attempt to use both optical and digital processing methods. Subpixel target detection and tracking algorithms are analyzed and conclusions are presented regarding their suitability for this application. We also present an adaptive subpixel delay estimation method using Group-Delay Functions. Image understanding techniques for three dimensional scene interpretation are also discussed.

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