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Reports by Author

Arthur Sanderson


Click on the titles below to find US government-authored or -collected reports written by Arthur Sanderson

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Northeast Artificial Intelligence Consortium (NAIC). Volume 7. Automatic Photointerpretation DEC 90 44 pages
Authors:  James Modestino; Arthur Sanderson; NORTHEAST ARTIFICIAL INTELLIGENCE CONSORTIUM SYRACUSE NY
The full text of this report is available for sale.The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert ...


Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based Imagery 29 APR 87
Authors:  David Casasent; Arthur Sanderson; Takeo Kanade; B. V. Vijaya Kumar; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERIN G
The full text of this report is not available and therefore is not for sale. This information is provided for reference purposes only.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 ...


Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based Imagery 10 MAY 85
Authors:  David Casasent; Arthur Sanderson; Takeo Kanade; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERIN G
The full text of this report is not available and therefore is not for sale. This information is provided for reference purposes only.This project is intended to combine: pattern recognition, image understanding and artificial intelligence techniques for space-based image processing as well as: optical and digital processing methods. Optical feature extraction and sub-pixel target detection and tracking results are summarized. Scene representation and modeling work using: probabilistic graph matching, multiple resolution rotation-invariant operators and texture analysis are detailed. Image understanding techniques for 3D scene interpretation discussed include 2D image-level methods (using features ...


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