Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management (NATO Science Series. 3: Computer and Systems Sciences)

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).IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences Title page......Page 1 Preface......Page 5 Contents......Page 9 Fusion Methodology......Page 13 Information Fusion for Decision Making......Page 15 A Gentle Introduction to Fusion of Multiple Pattern Classifiers......Page 35 Uncertainty Management for Intelligence Analysis......Page 47 Knowledge, Uncertainty and Belief in Information Fusion and Situation Analysis......Page 73 Information Evaluation: A Formalisation of Operational Recommendations......Page 93 Fusion Techniques for Airborne and Spaceborne Identification of Objects......Page 103 Distributed Fusion: Learning in Multi-Agent Systems for Time Critical Decision Making......Page 116 Active Robotic Sensing as Decision Making with Statistical Methods......Page 141 A New Genetic Algorithm for Global Optimization of Resources in Naval Warfare......Page 155 Calculus of Variations and Data Fusion......Page 183 Reliability in Multiple Hypotheses Testing and Identification Problems......Page 201 Human Computer Interaction......Page 215 Decision Support in Command and Control......Page 217 Multimodal Input Fusion in Human-Computer Interaction......Page 235 Spatio-Temporal Data Visualization and Analysis for Multi-Target Tracking......Page 247 Systems and Architectures......Page 265 Principles of Systems Engineering for Data Fusion Systems......Page 267 A Taxonomy of Sensor Processing Architectures......Page 277 Knowledge Fusion in the Scalable Infosphere......Page 295 Multi-Agent Data and Information Fusion......Page 320 Architecture Analysis and Demonstration of Distributed Data Fusion......Page 352 Data Fusion Testbed for Recognized Maritime Picture......Page 365 Comparisons of Track-Level Fusion Results with Tracklets Application Within a Simulation Environment......Page 378 Data Fusion for Imagery......Page 391 Multisensors and Contextual Information Fusion......Page 393 Fusion of Two Imagery Classifiers......Page 406 Application of Multi-Dimensional Discrete Transforms on Lie Groups for Image Processing......Page 416 Application of Continuous Extension of DCT to FLIR Images......Page 429 Neural Network-Based Fusion of Image and Non-Image Data for Surveillance and Tracking Applications......Page 438 Super-Resolution of Tactical Surveillance and Tracking Data for Fusion of Images......Page 460 Design of Fusion Architectures for Surveillance and Tracking Using Information Value Mappings......Page 476 Intelligent Fusion of Visual, Radio and Heterogeneous Embedded Sensor Information Within Cooperative and Distributed Smart Spaces......Page 492 Multimodal Cooperative Modulation Estimation and Terminal Location for Multisource Sensor Networks......Page 510 Issues in Multicamera Dynamic Metadata Information Extraction and Interpretation for Ambient Intelligence......Page 532 An Expert System for Surveillance Picture Understanding......Page 554 Tracking and Sensor Fusion......Page 565 Group Tracking......Page 567 Robust Modification of the EM-Algorithm for Parametric Multitrajectory Estimation in Noise and Clutter......Page 587 Non-Parametric Multi-Trajectory Estimation......Page 599 Integrated Estimation and Guidance for Target Interception......Page 609 An Adaptive, Variable Structure, Multiple Model Estimator......Page 625 A Distributed Sensor Network for Real-Time Multisensor Surveillance Against Possible Terrorist Actions......Page 639 Advantages and Drawbacks of Multisite Radar Systems......Page 652 Applications and Opportunities for Fusion......Page 669 Monitoring Search and Rescue Operations in Large-Scale Disasters......Page 671 Fusion of Various Methods for Resolving the Shakespeare Controversy......Page 683 A Game Model for Effective Counteraction Against Computer Attacks in Intrusion Detection Systems......Page 697 The Use of G-Networks Models for the Assessment of Computer Networks Performance......Page 720 Resource Sharing Performance Models for Estimating Internet Service Characteristic in View of Restrictions on Buffer Capacity......Page 741 Considerations of Possible Security-Related Nuclear Power Plants Incidents in Romania......Page 752 Blast Impact Assessment in the Iron Ore Mining Region of Ukraine......Page 761 Information and Spatial Data Processing in Risk Management......Page 772 Forest Fire Detection by Infrared Data Processing......Page 786 Appendices......Page 797 Organizing Committee......Page 799 Lecturers and Authors......Page 800 Subject Index......Page 809 Author Index......Page 831 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). Data Fusion is an interdisciplinary technology domain. This work focuses on the 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.