Ebook: Multisensor Fusion

For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

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For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

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For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.
Content:
Front Matter....Pages i-xi
Information Fusion in the Human Brain....Pages 1-36
Fundamentals of Reasoning and Multisensing....Pages 37-70
Introduction to DF: Models and Processes, Architectures, Techniques and Applications....Pages 71-97
The Fusion of Decisions for Distributed Recognition....Pages 99-124
Reexamining Data Fusion Processing at Levels 2, 3, and 4....Pages 125-161
An Introduction to Distributed Detection Theory....Pages 163-182
Distributed Sensor Networks and Neural Trees for Multisensor Data Fusion in Computer Vision....Pages 183-196
Architectures for Efficient Data Fusion....Pages 197-221
Reasoning Frameworks....Pages 223-245
Random Sets and Unification....Pages 247-266
Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion....Pages 267-293
Multisensor Fusion under Unknown Distributions Finite-Sample Performance Guarantees....Pages 295-329
Data Association and Multitarget Tracking....Pages 331-349
Wavelets for Modeling and Data Fusion in Remote Sensing....Pages 351-363
Soft Sensor Management for Multisensor Tracking Algorithm....Pages 365-379
Intellectualization of Multi-Sensor Systems for Decision Making Process....Pages 381-385
Implementing Data Fusion Systems....Pages 387-418
The Implementation of Data Fusion Systems....Pages 419-433
Multisensor Data Fusion Using Kalman Filters Based on Neuro-Fuzzy Linearisation....Pages 435-456
Identify Information Fusion through Evidential Reasoning....Pages 457-480
Association Techniques Used in Multisensor Data Fusion....Pages 481-495
Change Detection through Multisensor Processing....Pages 497-510
Statistical, Logic Based, and Neural Network Based Methods for Mining Rules from Data....Pages 511-532
Multi-Aspect Data Fusion Applied to Electromagnetic Target Classification using Enetic Algorithm....Pages 533-539
Object Detection and Tracking in Distributed Surveillance Systems Using Multiple Cameras....Pages 541-572
An Adaptive Filter for Tracking Targets in Clutter....Pages 573-580
Tracking Closely Maneuvering Targets in Clutter with an IMM-JVC Algorithm....Pages 581-592
Robust Multisensor Image Registration with Partial Distance Merits....Pages 593-609
Detection, Characterization and Classification of Radio Transmitter Turn-On Transients....Pages 611-616
Optimization and Benchmarking of Truncated Dempster-Shafer for Airborne Surveillance....Pages 617-623
Multitarget Tracking in Electronically Scanned Antenna Radar....Pages 625-631
Data Fusion in Remote Sensing and Improvement of the Spatial Resolution of Satellite Images....Pages 633-656
Introduction to Data Fusion and Applications in Astrodynamics....Pages 657-671
Landmine Problem and Multisensor Detection....Pages 673-714
Multisensing in Road Traffic Measurements....Pages 715-747
Information Fusion Applied to Selected Financial Problem Domains....Pages 749-764
Computer Network Security....Pages 765-778
Multisensing in Chernobyl: The State and Monitoring of Object “Shelter”....Pages 779-797
Blackboard Architectures for Sonar Data Association....Pages 799-805
On the Use of Statistical Considerations in Multi-Modal Identity Verification System Design....Pages 807-814
Multisensory Experiments on the Meson Facilities....Pages 815-837
Development of Remote Sensing Technology for Detection of Nuclear Explosives....Pages 839-849
Multisensor Fusion Data and Earthquake Prediction....Pages 851-863
The New Theory About Ion-Selective Electrodes....Pages 865-878
Finances and Physics....Pages 879-882
Remote Multisensing of Biological Systems....Pages 883-887
Extracting Information from Multichannel Versus Single Channel EEG Data in Epilepsy Analysis....Pages 889-895
Reconstruction of Bottom and Water Parameters in Shelf Zone on the Basis of Fusion of Geophysical and Acoustical Data....Pages 897-903
Use of Wave Length Shifting Fibres in Multi-Sensor High Energy Physics Detectors....Pages 905-909
Real-Time Network Distributed Image Processing and Analysis for a Security Application....Pages 911-916
Navigational-Radar Tracking of a Maritime Target in Clutter....Pages 917-922
Back Matter....Pages 925-944

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For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.
Content:
Front Matter....Pages i-xi
Information Fusion in the Human Brain....Pages 1-36
Fundamentals of Reasoning and Multisensing....Pages 37-70
Introduction to DF: Models and Processes, Architectures, Techniques and Applications....Pages 71-97
The Fusion of Decisions for Distributed Recognition....Pages 99-124
Reexamining Data Fusion Processing at Levels 2, 3, and 4....Pages 125-161
An Introduction to Distributed Detection Theory....Pages 163-182
Distributed Sensor Networks and Neural Trees for Multisensor Data Fusion in Computer Vision....Pages 183-196
Architectures for Efficient Data Fusion....Pages 197-221
Reasoning Frameworks....Pages 223-245
Random Sets and Unification....Pages 247-266
Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion....Pages 267-293
Multisensor Fusion under Unknown Distributions Finite-Sample Performance Guarantees....Pages 295-329
Data Association and Multitarget Tracking....Pages 331-349
Wavelets for Modeling and Data Fusion in Remote Sensing....Pages 351-363
Soft Sensor Management for Multisensor Tracking Algorithm....Pages 365-379
Intellectualization of Multi-Sensor Systems for Decision Making Process....Pages 381-385
Implementing Data Fusion Systems....Pages 387-418
The Implementation of Data Fusion Systems....Pages 419-433
Multisensor Data Fusion Using Kalman Filters Based on Neuro-Fuzzy Linearisation....Pages 435-456
Identify Information Fusion through Evidential Reasoning....Pages 457-480
Association Techniques Used in Multisensor Data Fusion....Pages 481-495
Change Detection through Multisensor Processing....Pages 497-510
Statistical, Logic Based, and Neural Network Based Methods for Mining Rules from Data....Pages 511-532
Multi-Aspect Data Fusion Applied to Electromagnetic Target Classification using Enetic Algorithm....Pages 533-539
Object Detection and Tracking in Distributed Surveillance Systems Using Multiple Cameras....Pages 541-572
An Adaptive Filter for Tracking Targets in Clutter....Pages 573-580
Tracking Closely Maneuvering Targets in Clutter with an IMM-JVC Algorithm....Pages 581-592
Robust Multisensor Image Registration with Partial Distance Merits....Pages 593-609
Detection, Characterization and Classification of Radio Transmitter Turn-On Transients....Pages 611-616
Optimization and Benchmarking of Truncated Dempster-Shafer for Airborne Surveillance....Pages 617-623
Multitarget Tracking in Electronically Scanned Antenna Radar....Pages 625-631
Data Fusion in Remote Sensing and Improvement of the Spatial Resolution of Satellite Images....Pages 633-656
Introduction to Data Fusion and Applications in Astrodynamics....Pages 657-671
Landmine Problem and Multisensor Detection....Pages 673-714
Multisensing in Road Traffic Measurements....Pages 715-747
Information Fusion Applied to Selected Financial Problem Domains....Pages 749-764
Computer Network Security....Pages 765-778
Multisensing in Chernobyl: The State and Monitoring of Object “Shelter”....Pages 779-797
Blackboard Architectures for Sonar Data Association....Pages 799-805
On the Use of Statistical Considerations in Multi-Modal Identity Verification System Design....Pages 807-814
Multisensory Experiments on the Meson Facilities....Pages 815-837
Development of Remote Sensing Technology for Detection of Nuclear Explosives....Pages 839-849
Multisensor Fusion Data and Earthquake Prediction....Pages 851-863
The New Theory About Ion-Selective Electrodes....Pages 865-878
Finances and Physics....Pages 879-882
Remote Multisensing of Biological Systems....Pages 883-887
Extracting Information from Multichannel Versus Single Channel EEG Data in Epilepsy Analysis....Pages 889-895
Reconstruction of Bottom and Water Parameters in Shelf Zone on the Basis of Fusion of Geophysical and Acoustical Data....Pages 897-903
Use of Wave Length Shifting Fibres in Multi-Sensor High Energy Physics Detectors....Pages 905-909
Real-Time Network Distributed Image Processing and Analysis for a Security Application....Pages 911-916
Navigational-Radar Tracking of a Maritime Target in Clutter....Pages 917-922
Back Matter....Pages 925-944
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