Mathematical Techniques In Multisensor Data Fusion PDF Download
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| Author | : David Lee Hall |
| Publisher | : Artech House |
| Total Pages | : 470 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9781580533355 |
Download Mathematical Techniques in Multisensor Data Fusion Book in PDF, ePub and Kindle
Since the publication of the first edition of this 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. 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 defence systems.
| Author | : I.R. Goodman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 503 |
| Release | : 2013-03-14 |
| Genre | : Mathematics |
| ISBN | : 9401589291 |
Download Mathematics of Data Fusion Book in PDF, ePub and Kindle
Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.
| Author | : Martin Liggins II |
| Publisher | : CRC Press |
| Total Pages | : 872 |
| Release | : 2017-01-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1420053094 |
Download Handbook of Multisensor Data Fusion Book in PDF, ePub and Kindle
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.
| Author | : David Hall |
| Publisher | : CRC Press |
| Total Pages | : 564 |
| Release | : 2001-06-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1420038540 |
Download Multisensor Data Fusion Book in PDF, ePub and Kindle
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 evolut
| Author | : Jitendra R. Raol |
| Publisher | : CRC Press |
| Total Pages | : 572 |
| Release | : 2015-08-27 |
| Genre | : Mathematics |
| ISBN | : 1498721028 |
Download Data Fusion Mathematics Book in PDF, ePub and Kindle
Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in va
| Author | : H.B. Mitchell |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 281 |
| Release | : 2007-07-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3540715592 |
Download Multi-Sensor Data Fusion Book in PDF, ePub and Kindle
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
| Author | : Jitendra R. Raol |
| Publisher | : CRC Press |
| Total Pages | : 570 |
| Release | : 2009-12-16 |
| Genre | : Technology & Engineering |
| ISBN | : 1439800057 |
Download Multi-Sensor Data Fusion with MATLAB Book in PDF, ePub and Kindle
Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly
| Author | : Yunmin Zhu |
| Publisher | : CRC Press |
| Total Pages | : 442 |
| Release | : 2012-07-05 |
| Genre | : Computers |
| ISBN | : 1466576006 |
Download Networked Multisensor Decision and Estimation Fusion Book in PDF, ePub and Kindle
Due to the increased capability, reliability, robustness, and survivability of systems with multiple distributed sensors, multi-source information fusion has become a crucial technique in a growing number of areas-including sensor networks, space technology, air traffic control, military engineering, agriculture and environmental engineering, and i
| Author | : I R Goodman |
| Publisher | : |
| Total Pages | : 524 |
| Release | : 1997-08-31 |
| Genre | : |
| ISBN | : 9789401589307 |
Download Mathematics of Data Fusion Book in PDF, ePub and Kindle
Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.
| Author | : Hassen Fourati |
| Publisher | : CRC Press |
| Total Pages | : 632 |
| Release | : 2017-12-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1351830880 |
Download Multisensor Data Fusion Book in PDF, ePub and Kindle
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
