Surveillance And Reconnaissance Imaging Systems
Jon C. Leachtenauer, Ronald G. Driggers, Jon C. LeachenauerBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
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.
...provides you with system descriptions and characteristics, S&R modeling history, and performance modeling details...
Synopsis
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.
Booknews
Leachtenauer, a human factors professional and consultant to the National Imagery and Mapping Agency, and Driggers, an electro-optical specialist now with the US Army, explain to design engineers, system analysts, and image scientists how to model imaging systems and predict their performance based on design attributes and measurable operating parameters. They consider the history of imaging systems, linear shift invariant systems, information extraction measures, information extraction performance predictors, target and environmental considerations, imaging processing considerations, display and observer considerations, performance prediction models, sensor performance conversions, and future directions. Annotation c. Book News, Inc., Portland, OR (booknews.com)