Mathematical Techniques in Multisensor Data Fusion

ISBN-10: 1580533353

ISBN-13: 9781580533355

Edition: 2nd 2004

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Book details

Edition: 2nd
Copyright year: 2004
Publisher: Artech House
Binding: Hardcover
Pages: 466
Size: 6.25" wide x 9.25" long x 1.25" tall
Weight: 1.606
Language: English

Preface
Introduction to Multisensor Data Fusion
Introduction
Fusion Applications
Sensors and Sensor Data
The Inference Hierarchy: Output Data
A Data Fusion Model
Benefits of Data Fusion
Architectural Concepts and Issues
Limitations of Data Fusion
Introduction to the Joint Directors of Laboratories (JDL) Data Fusion Process Model and Taxonomy of Algorithms
Introduction to the JDL Data Fusion Processing Model
Level 1 Fusion Algorithms
Data Alignment
Data/Object Correlation
Object Position, Kinematic, and Attribute Estimation
Object Identity Estimation
Level 2 Fusion Algorithms
Level 3 Fusion Algorithms
Level 4 Fusion Algorithms
Level 5 Fusion Techniques
Ancillary Support Functions
Alternative Data Fusion Process Models
Dasarathy's Functional Model
Boyd's Decision Loop
Bedworth and O'Brien's Omnibus Process Model
TRIP Model
Level 1 Processing: Data Association and Correlation
Introduction
Process Model for Correlation
Hypothesis Generation
Characterizing the Hypothesis Generation Problem
Overview of Hypothesis Generation Techniques
Hypothesis Evaluation
Characterizing the Hypothesis Evaluation Problem
Overview of Hypothesis Evaluation Techniques
Hypothesis Selection Techniques
Defining the Hypothesis Selection Space
Overview of Hypothesis Selection Techniques
Level 1 Fusion: Kinematic and Attribute Estimation
Introduction
Overview of Estimation Techniques
System Models
Optimization Criteria
Optimization Approach
Processing Approach
Batch Estimation
Derivation of Weighted Least Squares Solution
Processing Flow
Batch Processing Implementation Issues
Sequential Estimation
Derivation of Sequential Weighted Least Squares Solution
Sequential Estimation Processing Flow
Sequential Processing Implementation Issues
The Alpha-Beta Filter
Covariance Error Estimation
Recent Developments in Estimation
Identity Declaration
Identity Declaration and Pattern Recognition
Feature Extraction
Parametric Templates
Cluster Analysis Techniques
Adaptive Neural Networks
Physical Models
Knowledge-Based Methods
Hybrid Techniques
Decision-Level Identity Fusion
Introduction
Classical Inference
Bayesian Inference
Dempster-Shafer's Method
Generalized Evidence Processing (GEP) Theory
Heuristic Methods for Identity Fusion
Implementation and Trade-Offs
Inference Accuracy and Performance
Computer Resource Requirements
A Priori Data Requirements
Knowledge-Based Approaches
Brief Introduction to Artificial Intelligence
Overview of Expert Systems
Expert System Concept
The Inference Process
Forward and Backward Chaining
Knowledge Representation
Representing Uncertainty
Search Techniques
Architectures for Knowledge-Based Systems
Implementation of Expert Systems
Life-Cycle Development Model for Expert Systems
Knowledge Engineering
Test and Evaluation
Expert System Development Tools
Logical Templating Techniques
Bayes Belief Systems
Intelligent Agent Systems
Level 4 Processing: Process Monitoring and Optimization
Introduction
Extending the Concept of Level 4 Processing
Techniques for Level 4 Processing
Sensor Management Functions
General Sensor Controls
Optimization of System Resources
Measures of Effectiveness and Performance
Auction-Based Methods
Market Components
Multiattribute Auctions
Multiattribute Auction Algorithms
Research Issues in Level 4 Processing
Level 5: Cognitive Refinement and Human-Computer Interaction
Introduction
Cognitive Aspects of Situation Assessment
Individual Differences in Information Processing
Enabling HCI Technologies
Visual and Graphical Interfaces
Aural Interfaces and Natural Language Processing (NLP)
Haptic Interfaces
Gesture Recognition
Wearable Computers
Computer-Aided Situation Assessment
Computer-Aided Cognition
Utilization of Language Constructs
Areas for Research
An SBIR Multimode Experiment in Computer-Based Training
SBIR Objective
Experimental Design and Test Approach
CBT Implementation
Summary of Results
Implications for Data Fusion Systems
Implementing Data Fusion Systems
Introduction
Requirements Analysis and Definition
Sensor Selection and Evaluation
Functional Allocation and Decomposition
Architecture Trade-Offs
Algorithm Selection
Database Definition
HCI Design
Software Implementation
Test and Evaluation
Emerging Applications of Multisensor Data Fusion
Introduction
Survey of Military Applications
Emerging Nonmilitary Applications
Intelligent Monitoring of Complex Systems
Medical Applications
Law Enforcement
Nondestructive Testing (NDT)
Robotics
Commercial Off The Shelf (COTS) Tools
Survey of COTS Software
Special Purpose COTS Software
General Purpose Data Fusion Software
A Survey of Surveys
Perspectives and Comments
Automated Information Management
Introduction
Initial Automated Information Manager: Automated Targeting Data Fusion
Automated Targeting Data Fusion: Structure and Flow
Automatic Information Needs Resolution Example: Automated Imagery Corroboration
Automated Image Corroboration Example
Automated Information Manager: Ubiquitous Utility
About The Authors
Index
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