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

Authors: David Casasent; Arthur Sanderson; Takeo Kanade; B. V. Vijaya Kumar; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERIN G
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.

Description: Rept. for May 85-Mar 87
Pages: 154
Report Date: 29 APR 87
Contract Number: AFOSR-84-0239, F49620-85-C-008
Report Number: A117091

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Keywords relating to this report:
*ALGORITHMS
*DIGITAL SYSTEMS
*IMAGE PROCESSING
*OPTICAL PROCESSING
*PATTERN RECOGNITION
*TARGET DETECTION
DELAY
ESTIMATES
INTELLIGENCE
METHODOLOGY
PROCESSING
SPACE BASED
TRACKING
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