Surveillance and Reconnaissance Systems - Modeling and Performance Prediction (Hardcover)

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.

General

Imprint:	Artech House Publishers
Country of origin:	United States
Release date:	March 2001
First published:	March 2001
Authors:	Jon C. Leachtenauer • Ronald G. Driggers
Dimensions:	234 x 156 x 23mm (L x W x T)
Format:	Hardcover
Pages:	424
ISBN-13:	978-1-58053-132-0
Categories:	Books > Professional & Technical > Electronics & communications engineering > General Books > Computing & IT > General theory of computing > Systems analysis & design Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Security & fire alarm systems Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-58053-132-6
Barcode:	9781580531320

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