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Author Raol, J. R. (Jitendra R.), 1947- author.

Title Data fusion mathematics : theory and practice / Jitendra R. Raol. [O'Reilly electronic resource]

Publication Info. Boca Raton : CRC Press, Taylor & Francis Group, [2016]
©2016
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Description 1 online resource (xxx, 570 pages) : illustrations
data file
Bibliography Includes bibliographical references and index.
Contents Introduction to data fusion process -- Statistics, probability models and reliability : towards probabilistic data fusion -- Fuzzy logic and possibility theory-based fusion -- Filtering, target tracking and kinematic data fusion -- Decentralised data fusion systems -- Component analysis and data fusion -- Image algebra and image fusion / S. Sethu Selvi -- Decision theory and fusion -- Wireless sensor networks and multimodal data fusion -- Soft computing approaches to data fusion -- Appendix A. Some Algorithms and/or Their Derivations -- Appendix B. Other Methods of DF and Fusion Performance Evaluation Metrics -- Appendix C. Automatic Data Fusion -- Appendix D. Notes and Information on Data Fusion Software Tools -- Appendix E. Definitions of Sensor DF in Literature -- Appendix F. Some Current Research Topics in DF.
Summary 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 various applications that include the monitoring of vehicles, aerospace systems, large-scale structures, and large industrial automation plants. Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion, and provides a proper and adequate understanding of the basic mathematics directly related to DF. The material covered can be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion mathematics can evolve from various disparate mathematical concepts, and highlights mathematics that can add credibility to the data fusion process.
Subject Multisensor data fusion -- Mathematics.
Fusion multicapteurs -- Mathématiques.
Multisensor data fusion -- Mathematics
Other Form: Print version: Raol, J.R. (Jitendra R.), 1947- Data fusion mathematics. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2016] 9781498720977 (DLC) 2015026061 (OCoLC)906010398
ISBN 9781498721028 (electronic bk.)
1498721028 (electronic bk.)
Standard No. 10.1201/b18736 doi
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