Surveillance and Reconnaissance Imaging Systems: Modeling and Performance Prediction

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Artech House, Jan 1, 2001 - Technology & Engineering - 399 pages
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Here's an up-to-date, comprehensive review of surveillance and reconnaissance (S & R) imaging system modeling and performance prediction. This new, one-of-a-kind resource helps you predict the information potential of new surveillance system designs, compare and select from alternative measures of information extraction, relate the performance of tactical acquisition sensors and surveillance sensors, and understand the relative importance of each element of the image chain on S& R system performance. It provides you with system descriptions and characteristics, S& R modeling history, and performance modeling details.

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Surveillance and Reconnaissance Imaging
Instantaneous Field of View
Historical Review
Linear Shift Invariant Imaging Systems
Information Extraction Measures
Information Extraction Performance Predictors
Target and Environmental Considerations
Image Processing Considerations
Display and Observer Considerations
Performance Prediction Models
Sensor Performance Conversions
Conclusions and Future Directions

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About the author (2001)

Jon C. Leachtenauer holds an A.B. and M.S. in Geology from Syracuse University. He formed his own consulting agency, J/M Leachtenauer Associates, Inc, and is currently a consultant to the National Imagery and Mapping Agency. He is the author of over 150 technical reports, as well as numerous published papers covering all aspects of the image exploitation process.

Ronald G. Driggers holds a Ph.D. in electrical engineering from the University of Memphis. He is a senior engineer with the U.S. Army Night Vision and Electronic Sensors Directorate and is the U.S. representative to the NATO panel on advanced thermal imager characterization. Dr. Driggers is the author of two other books on infrared and electro-optic systems and has published over 30 refereed journal papers.

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