Advancing technology in detector arrays, flat panel displays, and digital image processing provides new opportunities to expand imaging applications and enhance system performance. Technical managers and design engineers are faced with evaluating the cost, weight, and performance of an ever-expanding selection of technology options. This tutorial text provides the theory, procedures, and information necessary to evaluate and compare the performance of available imaging technologies. Part I updates the earlier work presented in Analysis of Sampled Imaging Systems (2000). Part II discusses performance evaluation of electro-optical imagers. Part III provides computer programs (on a supplemental CD-ROM) and up-to-date information on detector arrays, optics, and display options. The book covers a variety of display formats and interfaces, and provides detailed information on available focal plane arrays (FPAs). Particular emphasis is placed on theory and practice for the wide variety of available infrared FPAs. Technologies represented include InSb, HgCdTe, QWIP, and uncooled thermal arrays. Information is provided on the quantum efficiency, blur, crosstalk, and noise characteristics of each technology. The detector and array dimensions of available FPAs are provided. The information on optics, display, and FPA subassemblies allows the model user to make quick and realistic performance assessments of electro-optical imager designs.

Advances in solid state detector arrays, flat panel displays and digital image processing have prompted an increasing variety of sampled imaging products and possibilities. These technology developments provide new opportunities and problems for the design engineer and system analyst - this tutorial's intended reader.

The scientific applications and engineering aspects of multispectral and hyperspectral imaging systems have been studied extensively. The traditional geometric spectral imaging system model is specifically developed aiming at spectral sensors with spectrally non-overlapping bands. Spectral imaging systems with overlapping bands also exist. For example, the quantum-dot infrared photodetectors (QDIPs) for midwave- and longwave-infrared (IR) imaging systems exhibit highly overlapping spectral responses, that are tunable through the bias voltages applied. This makes it possible to build spectrally tunable imaging system in IR range based on single QDIP. Furthermore, the QDIP based system can be operated as being adaptive to scenes. Other optical imaging systems like the human eye and some polarimetric sensing systems also have overlapping bands. To analyze such sensors, a functional analysis-based framework is provided in this dissertation. The framework starts from the mathematical description of the interaction between sensor and theradiation from scene reaching it. A geometric model of the spectral imaging process is provided based on the framework. The spectral response functions and the scene spectra are considered as vectorsinside an.

This book presents today's most powerful signal processing techniques together with methods for assessing imaging system performance when each of these techniques is applied. This multi-use book helps you make the most of sensor hardware through software enhancement, and evaluate system and algorithm performance. You also learn how to make the best hardware/software decisions in developing the next-generation of image acquisition and analysis systems.