Surveillance and Reconnaissance Systems

Modeling and Performance Prediction

Inbunden, Engelska, 2001

AvJon C. Leachtenauer,Ronald G. Driggers,C. Leachtenauer, Jon,Jon C Leachtenauer,Ronald G Driggers

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An up-to-date, comprehensive review of surveillance and reconnaissance (S&R) imaging system modelling and performance prediction. This resource helps the reader 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 system descriptions and characteristics, S&R modelling history, and performance modelling details. With an emphasis on validated prediction of human observer performance, this book addresses the specific design and analysis techniques used with today's S&R imaging systems. It offers 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 modelling approaches are examined to help the reader perform system comparisons.

Produktinformation

Utgivningsdatum2001-03-31
Mått156 x 234 x 23 mm
Vikt770 g
FormatInbunden
SpråkEngelska
Antal sidor424
FörlagArtech House Publishers
ISBN9781580531320

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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.

Introduction - Modeling Applications. Conceptual S&R Model. Performance Prediction Approaches. Surveillance and Reconnaissance Systems - Introduction. Imaging with IR and EO Sensors. Image Formation. Imaging System parameters. Synthetic Aperture Radar. Choice of Imaging Sensors. Examples of Surveillance and Reconnaissance Sensors. Historical Review of S&R Modeling - Pre-1950. 1950-1970. 1970-Present. Linear Shift Invariant Imaging Systems - Linearity and Shift Invariance. The Impulse Function. The Fourier Series and Fourier Transform. LSI Imaging System. Imaging in the Space and Frequency Domain. Imaging With Components. Simplifying LSI Imager Analysis to One Dimension. Sampled Imaging Systems. SAR Impulse Response and Transfer Function. Information Extraction Measures - Direct Performance Measures. Theory of Signal Detection. Range/Time Measures. Performance Estimate Measures. Information and Difference Metrics. Information Extraction Performance Predictors - Scale, Resolution, and Sharpness. Contrast and Noise. Artifacts. Summary Measures. Target and Environmental Considerations - Target Effects. Deception and Denial. Atmospheric Effects. Image Processing Considerations - Bandwidth Compression. Enhancement Processing. Display and Observer Considerations - Displays. Observer Characteristics. Observer Models. Performance Prediction Models - Parameter-based Models. Image-Based Models. Sensor Performance Conversions - Johnson Criteria and NIIRS. Conversion with Models. Comparing Sensor Performance Conversions. Performance Conversion as a Function of Target Size. Conclusions and Future Directions - Spectral Domain. Temporal Effects. Search. SAR.