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. With an emphasis on validated prediction of human observer performance, this unique book addresses the specific design and analysis techniques used with today's S&R imaging systems. You find in-depth discussions on everything from the conceptual performance prediction model, linear shift invariant systems, and measurement variables used for S&R information extraction. . . to predictor variables, target and environmental considerations,Crt and flat panel display selection, and models for image processing. Conversion methods between alternative modeling approaches are examined to help you perform system comparisons. Supported with 120 illustrations and 150 equations.

� propos de l?auteur

Jon C. Leachtenauer 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. Mr. Leachtenauer holds an A.B. and M.S. in Geology from Syracuse University. Ronald G. Driggers 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. He holds a Ph.D. in electrical engineering from the University of Memphis.

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