Surveillance and reconnaissance imaging systems, modeling & perfomance prediction (IPF)

This text is intended to provide a comprehensive review of surveillance and reconnaissance (S&R) imaging system modelling and performance prediction. The goal of S&R systems is to provide information-detection, classification, and identification of objects and features based on image characteristics. Given a set of information requirements, the system designer and operator must design and operate a system in a manner that will provide the required information.

Introduction. Surveillance and reconnaissance imaging systems. 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.