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" Multisensor fusion "
edited by A.K. Hyder, E. Shahbazian and E. Waltz.
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BL
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| Record Number
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738972
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b558885
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| Main Entry
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edited by A.K. Hyder, E. Shahbazian and E. Waltz.
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| Title & Author
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Multisensor fusion\ edited by A.K. Hyder, E. Shahbazian and E. Waltz.
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| Publication Statement
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Dordrecht ; Boston: Kluwer Academic Publishers, 2002
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| Series Statement
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NATO science series., Series II,, Mathematics, physics, and chemistry ;, v. 70.
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| ISBN
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9401005567
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: 9789401005562
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| Contents
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Preface. 1: Introduction and Fundamentals. Information Fusion in the Human Brain; R. von Hanwehr. Fundamentals of Reasoning and Multisensing; E. Waltz. Introduction to DF: Models and Processes, Architectures, Techniques and Applications; E. Shahbazian. The Fusion of Decisions for Distributed Recognition; M.D. Bedworth. Reexamining Data Fusion Processing at Levels 2, 3, and 4; J. Llinas. 2: Multisensor Fusion Theory. An Introduction to Distributed Detection Theory; P.K. Varshney. Distributed Sensor Networks and Neural Trees for Multisensor Data Fusion in Computer Vision; G.L. Foresti. Architectures for Efficient Data Fusion; P. Vangasse, D. Nicholson. Reasoning Frameworks; P. Valin. Random Sets and Unification; P. Valin. Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion; I. Bloch. Multisensor Fusion under Unknown Distributions Finite-Sample Performance Guarantees; N.S.V. Rao. Data Association and Multitarget Tracking; J.-P. Le Cadre. Wavelets for Modeling and Data Fusion in Remote Sensing; T. Ranchin. Soft Sensor Management for Multisensor Tracking Algorithm; V. Nimier. Intellectualization of Multi-Sensor System for Decision Making Process; T.E. Bekmuratov. 3: Multisensor Design and Implementation. Implementing Data Fusion Systems; R. Reynaud. The Implementation of Data Fusion Systems; D.L. Hall. Multisensor Data Fusion Using Kalman Filters Based on Neuro-Fuzzy Linearisation; C. Harris, Q. Gan. Identify Information Fusion through Evidential Reasoning; E. Bosse. Association Techniques Used in Multisensor Data Fusion; E. Semerdjiev. Change Detection through Multisensor Processing; E. Semerdjiev.Statistical, Logic Based, and Neural Network Based Methods for Mining Rules from Data; M. Holena. Multi-Aspect Data Fusion Applied to Electromagnetic Target Classification Using Enetic Algorithm; G. Turhna-Sayan. Object Detection and Tracking in Distributed Surveillance Systems Using Multiple Cameras; C.S. Regazzoni, L. Marcenaro. An Adaptive Filter for Tracking Targets in Clutter; M. Efe. Tracking Closely Maneuvering Targets in Clutter with an IMM-JVC Algorithm; A. Jouan, et al. Robust Multisensor Image Registration with Partial Distance Merits; Y. Sheng, et al. Detection, Characterization and Classification of Radio Transmitter Turn-on Transients; O. UErenten, N. Serinken. Optimization and Benchmarking of Truncated Dempster-Shafer for Airborne Surveillance; P. Valin, D. Boily. Multitarget Tracking in Electronically Scanned Antenna Radar; A. Witczak, M. Brzozowski. 4: Multisensor Fusion Applications. Data Fusion in Remote Sensing and Improvement of the Spatial Resolution of Satellite Images; T. Ranchin. Introduction to Data Fusion and Applications in Astrodynamics; D. Finkleman, et al. Landmine Problem and Multisensor Detection; V.M. Bystritskii. Multisensing in Road Traffic Measurements; R. Sroka. Information Fusion Applied to Selected Financial Problem Domains; D. Lowe. Computer Network Security; E. Lefebvre. Multisensing in Chernobyl: The State and Monitoring of Object 'Shelter'; I.N. Onishchenko. Blackboard Architectures for Sonar Data Association; B.A. McArthur. On the Use of Statistical Considerations in Multi-Modal Identity Verification System Design; P. Verlinde, M. Acheroy. Multisensory Experiments on the Meson Facilities; V.M. Bystritskii. Development of Remote Sensing Technology for Detection of Nuclear Explosiv
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Detectors -- Congresses.
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Intelligent control systems -- Congresses.
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Multisensor data fusion -- Congresses.
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| Added Entry
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A K Hyder
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E Shahbazian
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Edward Waltz
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