Decision Fusion


Decision Fusion
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Decision Fusion


Decision Fusion
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Author : Belur V. Dasarathy
language : en
Publisher:
Release Date : 1994

Decision Fusion written by Belur V. Dasarathy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.




Multisensor Decision And Estimation Fusion


Multisensor Decision And Estimation Fusion
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Author : Yunmin Zhu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Multisensor Decision And Estimation Fusion written by Yunmin Zhu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is made. A system with multiple distributed sensors has many advantages over one with a single sensor. These include an increase in the capability, reliability, robustness and survivability of the system. Distributed decision or estimation fusion prob lems for cases with statistically independent observations or observation noises have received significant attention (see Varshney's book Distributed Detec tion and Data Fusion, New York: Springer-Verlag, 1997, Bar-Shalom's book Multitarget-Multisensor Tracking: Advanced Applications, vol. 1-3, Artech House, 1990, 1992,2000). Problems with statistically dependent observations or observation noises are more difficult and have received much less study. In practice, however, one often sees decision or estimation fusion problems with statistically dependent observations or observation noises. For instance, when several sensors are used to detect a random signal in the presence of observation noise, the sensor observations could not be statistically independent when the signal is present. This book provides a more complete treatment of the fundamentals of multi sensor decision and estimation fusion in order to deal with general random ob servations or observation noises that are correlated across the sensors.



Information Quality In Information Fusion And Decision Making


Information Quality In Information Fusion And Decision Making
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Author : Éloi Bossé
language : en
Publisher: Springer
Release Date : 2019-04-02

Information Quality In Information Fusion And Decision Making written by Éloi Bossé and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-02 with Computers categories.


This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resulting in correlations and biases. The success of the fusion processing depends on how well knowledge produced by the processing chain represents reality, which in turn depends on how adequate data are, how good and adequate are the models used, and how accurate, appropriate or applicable prior and contextual knowledge is. By offering contributions by leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion and decision-making for researchers and professionals in the field.



Multisensor Fusion


Multisensor Fusion
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Author : Anthony K. Hyder
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-07-31

Multisensor Fusion written by Anthony K. Hyder and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-31 with Computers categories.


Proceedings of the NATO Advanced Study Institute on Multisensor Data Fusion, held in Pitlochry, Perthshire, Scotland, June 25-July 7, 2000



Networked Multisensor Decision And Estimation Fusion


Networked Multisensor Decision And Estimation Fusion
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Author : Yunmin Zhu
language : en
Publisher: CRC Press
Release Date : 2012-07-05

Networked Multisensor Decision And Estimation Fusion written by Yunmin Zhu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-05 with Computers categories.


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



Networked Multisensor Decision And Estimation Fusion


Networked Multisensor Decision And Estimation Fusion
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Author : Yunmin Zhu
language : en
Publisher: CRC Press
Release Date : 2012-07-05

Networked Multisensor Decision And Estimation Fusion written by Yunmin Zhu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-05 with Computers categories.


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



Feature Based Architectures For Decision Fusion Microform


Feature Based Architectures For Decision Fusion Microform
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Author : Nayer Wanas
language : en
Publisher: National Library of Canada = Bibliothèque nationale du Canada
Release Date : 2003

Feature Based Architectures For Decision Fusion Microform written by Nayer Wanas and has been published by National Library of Canada = Bibliothèque nationale du Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.




Fusion Methodologies In Crisis Management


Fusion Methodologies In Crisis Management
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Author : Galina Rogova
language : en
Publisher: Springer
Release Date : 2016-01-21

Fusion Methodologies In Crisis Management written by Galina Rogova and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-21 with Technology & Engineering categories.


The book emphasizes a contemporary view on the role of higher level fusion in designing crisis management systems, and provide the formal foundations, architecture and implementation strategies required for building dynamic current and future situational pictures, challenges of, and the state of the art computational approaches to designing such processes. This book integrates recent advances in decision theory with those in fusion methodology to define an end-to-end framework for decision support in crisis management. The text discusses modern fusion and decision support methods for dealing with heterogeneous and often unreliable, low fidelity, contradictory, and redundant data and information, as well as rare, unknown, unconventional or even unimaginable critical situations. Also the book examines the role of context in situation management, cognitive aspects of decision making and situation management, approaches to domain representation, visualization, as well as the role and exploitation of the social media. The editors include examples and case studies from the field of disaster management.



Design Of A Framework To Facilitate Decisions Using Information Fusion


Design Of A Framework To Facilitate Decisions Using Information Fusion
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Author : Tamer M. Abo Neama
language : en
Publisher: Infinite Study
Release Date :

Design Of A Framework To Facilitate Decisions Using Information Fusion written by Tamer M. Abo Neama and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Information fusion is an advanced research area which can assist decision makers in enhancing their decisions. This paper aims at designing a new multi-layer framework that can support the process of performing decisions from the obtained beliefs using information fusion. Since it is not an easy task to cross the gap between computed beliefs of certain hypothesis and decisions, the proposed framework consists of the following layers in order to provide a suitable architecture.



Sensor And Data Fusion


Sensor And Data Fusion
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Author : Lawrence A. Klein
language : en
Publisher: SPIE Press
Release Date : 2004

Sensor And Data Fusion written by Lawrence A. Klein and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Technology & Engineering categories.


This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Applications that benefit from this technology include: vehicular traffic management, remote sensing, target classification and tracking- weather forecasting- military and homeland defense. Covering data fusion algorithms in detail, Klein includes a summary of the information required to implement each of the algorithms discussed, and outlines system application scenarios that may limit sensor size but that require high resolution data.