Book Description
The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolution of computers and the maturation of data fusion technology, the door to using data fusion in everyday applications is now wide open and presenting great opportunities. The Handbook of Multisensor Data Fusion provides a unique, comprehensive, and up-to-date resource for data fusion systems designers and researchers. Divided into five parts, it: · offers a thorough introduction to data fusion terminology and models · describes advanced techniques for data association, target tracking, and identification · presents practical information on system development, including requirements analysis, systems engineering, algorithm selection, database design, human-computer interfaces, and performance assessment · introduces applications from the DoD, NASA, DARPA, and condition-based monitoring of complex machinery · supplies data fusion resources and Web sites The contributing authors are all recognized leaders in data fusion and have collaborated to provide what promises to be the definitive reference for this rapidly developing field. Whether you are a researcher, system designer, implementer, or student, in the Handbook of Multisensor Data Fusion you'll find everything you need, from a basic introduction and survey of data fusion technology to advanced mathematics and theory, including very practical advice on data fusion system development and implementation.
Customer Reviews:
MotownBlue.......2005-08-03
Useful overview for users of Oracle's Java IDE. Most useful for n-tier development with Oracle's database & application server. Not as useful for 2 tier or desktop developers.
This Book is the Authorative Handbook - Highly Recommended!!.......2004-02-03
Related quotes from Bass, T., Intrusion Detection Systems & Multisensor Data Fusion, Communications of the ACM, pp. 99-105, Vol. 43, No. 4, April 2000:
Multisensor data fusion or distributed sensing, is a relatively new engineering discipline used to combine data from multiple and diverse sensors and sources in order to make inferences about events, activities, and situations. These systems are often compared to the human cognitive process where the brain fuses sensory information from the various sensory organs, evaluates situations, makes decisions, and directs action.
Data fusion technology has been applied most prominently to military applications such as battlefield surveillance and tactical situation assessment. Data fusion has also emerged in commercial applications such as robotics, manufacturing, medical diagnosis, and remote sensing.
The application of data fusion in technical systems requires mathematical and heuristic techniques from fields such as statistics, artificial intelligence, operations research, digital signal processing, pattern recognition, cognitive psychology, information theory and decision theory.
In a typical military command and control (C2) system, data fusion sensors are used to observe electromagnetic radiation, acoustic and thermal energy, nuclear particles, infrared radiation, noise and other signals. Multisensor data fusion provides an important functional framework for building next generation information fusion and cyberspace situational awareness systems.
There exist significant opportunities and numerous technical challenges for the commercial application of data fusion theory into the art and science of modern decision support systems. This handbook provides the absolute best possible overview of the art and science of multisensor data fusion technology.
Congratulations to David Hall and James Llinas for great editorial work on this handbook. I strongly recommend this book to anyone working in this wonderful and rapidly evolving field.
Book Description
Since the publication of the first edition of this groundbreaking book, advances in algorithms, logic, and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis, and data system fusion control.
Besides aiding you in selecting the appropriate algorithm for implementing a data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off the shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPA's recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defense systems.
Customer Reviews:
This is the most complete data fusion reference available........1999-03-20
This is a well written reference book that clearly describes the mathematical aspects of multisensor data fusion. It can be used effectively by experts and those who are just beginning to explore this technology. The book includes clear figures, tables, and equations and features an exhaustive list of references for further study. I highly recommend this book as a first step to understanding this technology and its impacts.
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Distributed Detection and Data Fusion (Signal Processing and Data Fusion)
Pramod K. Varshney
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Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library)
ASIN: 0387947124 |
Book Description
This book provides an introduction to decision making in a distributed computational framework. When most computations were performed by a central processor, classical detection theory could assume that the processor could make decisions based on complete information. The development of distributed processors working in parallel on different parts of the same computational problem makes it necessary to make local decisions that are then conveyed to other processors, where ultimately a fusion center must make global decisions. Using numerous examples throughout the book, the author discusses such distributed detection processes under various different formulations and in a wide variety of network topologies. By providing a unified treatment of the recent advances, this book should prove valuable not only to researchers active in the field, but also to graduate students and others embarking on research in detection, signal processing, and statistical decision theory. Some prior knowledge of detection theory is assumed.
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- The State of the Art as it Exhists Today
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Multi-Sensor Image Fusion and Its Applications (Signal Processing and Communica)
Manufacturer: CRC
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ASIN: 0849334179 |
Book Description
Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.
Customer Reviews:
The State of the Art as it Exhists Today.......2005-10-18
It should come as no surprise that viewing things with different sensors produce images that are different. Looking at two or more images side by side may well not provide enough information to the brain for a combined or fused image to appear. This book is on computer processing of multiple images to present a combined image that provides a human with an enhanced picture containing more useful information than the two separate images.
Blum and Liu are editors of the book. They are contributors to some of the chapters, the other chapters are written by an international group of experts in various fields. Contributors come from Canada, France, England, Czech Republic, Australia, The Netherlands, and all around the US.
The book is a combined technical work on producing fused images along with application notes on the use of fused images in various applications such as medical imagery, surveillance and navigation, various industrial applications and more. There are twenty eight pages of color images most of which contain multiple images.
This book represents the state of the art in image fusion as it exists today.
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Applications of NDT Data Fusion
Manufacturer: Springer
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ASIN: 0792374126 |
Book Description
Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than one NDT system is usually required for accurate defect detection and/or quantification. In addition to a reduction in inspection time, important cost savings could be achieved if a data fusion process is developed to combine signals from multisensor systems for manual and remotely operated inspections. This gathering of data from multiple sources and an efficient processing of information help in decision making, reduce signal uncertainty and increase the overall performance of a non-destructive examination. This book gathers, for the first time, essays from leading NDT experts involved in data fusion. It explores the concept of data fusion by providing a comprehensive review and analysis of the applications of NDT data fusion. This publication concentrates on NDT data fusion for industrial applications and highlights progress and applications in the field of data fusion in areas ranging from materials testing in the aerospace industry to medical applications. Each chapter contains a specific case study with a theoretical part but also presents experimental results from a practical point of view. The book should be considered more as a pragmatic introduction to the applications of NDT data fusion rather than a rigorous basis for theoretical studies.
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International Conference on Nuclear Data for Science and Technology (AIP Conference Proceedings)
Manufacturer: American Institute of Physics
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ASIN: 073540254X |
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All papers were peer reviewed. This conference focused on the broad field of nuclear data, their production, dissemination, and testing, with the goal of providing reliable data for applications such a nuclear fission and fusion energy, accelerators, spallation neutron sources, nuclear medicine, environment, space, non-proliferation, nuclear safety, astrophysics and cosmology, and basic research.
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Intelligent Methods in Signal Processing and Communications
Manufacturer: Birkhäuser Boston
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ASIN: 0817639608 |
Book Description
This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST) - a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithms, so you can use FISST to address real-world challenges in the field. You learn how to model, fuse, and process highly disparate information sources, and detect and track non-cooperative individual/platform groups and conventional non-cooperative targets.
You find a rigorous Bayesian unification for many aspects of expert systems theory. Moreover, the book presents systematic integral and differential calculus for multisource-multitarget problems, providing a methodology for devising rigorous new techniques. This accessible and detailed book is supported with over 3,000 equations, 90 clear examples, 70 explanatory figures, and 60 exercises with solutions.
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Probabilistic Modelling in Bioinformatics and Medical Informatics
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Consumer Health Informatics: Informing Consumers and Improving Health Care (Health Informatics)
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Aspects of Electronic Health Record Systems (Health Informatics)
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Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Integrated Series in Information Systems)
ASIN: 1852337788 |
Book Description
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
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Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138)
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Radar Handbook
