Cover image for Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management.
Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management.
Title:
Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management.
Author:
Shahbazian, E.
ISBN:
9781607501244
Personal Author:
Physical Description:
1 online resource (832 pages)
Series:
NATO Science Series, III: Computer and Systems Sciences
Contents:
Title page -- Preface -- Contents -- Fusion Methodology -- Information Fusion for Decision Making -- A Gentle Introduction to Fusion of Multiple Pattern Classifiers -- Uncertainty Management for Intelligence Analysis -- Knowledge, Uncertainty and Belief in Information Fusion and Situation Analysis -- Information Evaluation: A Formalisation of Operational Recommendations -- Fusion Techniques for Airborne and Spaceborne Identification of Objects -- Distributed Fusion: Learning in Multi-Agent Systems for Time Critical Decision Making -- Active Robotic Sensing as Decision Making with Statistical Methods -- A New Genetic Algorithm for Global Optimization of Resources in Naval Warfare -- Calculus of Variations and Data Fusion -- Reliability in Multiple Hypotheses Testing and Identification Problems -- Human Computer Interaction -- Decision Support in Command and Control -- Multimodal Input Fusion in Human-Computer Interaction -- Spatio-Temporal Data Visualization and Analysis for Multi-Target Tracking -- Systems and Architectures -- Principles of Systems Engineering for Data Fusion Systems -- A Taxonomy of Sensor Processing Architectures -- Knowledge Fusion in the Scalable Infosphere -- Multi-Agent Data and Information Fusion -- Architecture Analysis and Demonstration of Distributed Data Fusion -- Data Fusion Testbed for Recognized Maritime Picture -- Comparisons of Track-Level Fusion Results with Tracklets Application Within a Simulation Environment -- Data Fusion for Imagery -- Multisensors and Contextual Information Fusion -- Fusion of Two Imagery Classifiers -- Application of Multi-Dimensional Discrete Transforms on Lie Groups for Image Processing -- Application of Continuous Extension of DCT to FLIR Images -- Neural Network-Based Fusion of Image and Non-Image Data for Surveillance and Tracking Applications.

Super-Resolution of Tactical Surveillance and Tracking Data for Fusion of Images -- Design of Fusion Architectures for Surveillance and Tracking Using Information Value Mappings -- Intelligent Fusion of Visual, Radio and Heterogeneous Embedded Sensor Information Within Cooperative and Distributed Smart Spaces -- Multimodal Cooperative Modulation Estimation and Terminal Location for Multisource Sensor Networks -- Issues in Multicamera Dynamic Metadata Information Extraction and Interpretation for Ambient Intelligence -- An Expert System for Surveillance Picture Understanding -- Tracking and Sensor Fusion -- Group Tracking -- Robust Modification of the EM-Algorithm for Parametric Multitrajectory Estimation in Noise and Clutter -- Non-Parametric Multi-Trajectory Estimation -- Integrated Estimation and Guidance for Target Interception -- An Adaptive, Variable Structure, Multiple Model Estimator -- A Distributed Sensor Network for Real-Time Multisensor Surveillance Against Possible Terrorist Actions -- Advantages and Drawbacks of Multisite Radar Systems -- Applications and Opportunities for Fusion -- Monitoring Search and Rescue Operations in Large-Scale Disasters -- Fusion of Various Methods for Resolving the Shakespeare Controversy -- A Game Model for Effective Counteraction Against Computer Attacks in Intrusion Detection Systems -- The Use of G-Networks Models for the Assessment of Computer Networks Performance -- Resource Sharing Performance Models for Estimating Internet Service Characteristic in View of Restrictions on Buffer Capacity -- Considerations of Possible Security-Related Nuclear Power Plants Incidents in Romania -- Blast Impact Assessment in the Iron Ore Mining Region of Ukraine -- Information and Spatial Data Processing in Risk Management -- Forest Fire Detection by Infrared Data Processing -- Appendices -- Organizing Committee.

Lecturers and Authors -- Subject Index -- Author Index.
Abstract:
Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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