search for books and compare prices
Tables of Contents for Handbook of Multisensor Data Fusion
Chapter/Section Title
Page #
Page Count
Part I Introduction to Multisensor Data Fusion
Multisensor Data Fusion
David L. Hall
James Llinas
Introduction
1
1
Multisensor Advantages
2
1
Military Applications
3
1
Nonmilitary Applications
4
1
Three Processing Architectures
5
1
A Data Fusion Process Model
6
2
Assessment of the State of The Art
8
2
Additional Information
10
1
Reference
10
Revisions to the JDL Data Fusion Model
Alan N. Steinberg
Christopher L. Bowman
Introduction
1
1
What Is Data Fusion? What Isn't?
1
3
Models and Architectures
4
8
Beyond the Physical
12
3
Comparison with Other Models
15
2
Summary
17
1
References
18
Introduction to the Algorithmics of Data Association in Multiple--Target Tracking
Jeffrey K. Uhlmann
Introduction
1
9
Ternary Trees
10
3
Priority Kd--Trees
13
4
Conclusion
17
1
Acknowledgments
17
1
References
17
The Principles and Practice of Image and Spatial Data Fusion
Ed Waltz
Introduction
1
1
Motivations for Combining Image and Spatial Data
2
1
Defining Image and Spatial Data Fusion
3
2
Three Classic Levels of Combination for Multisensor Automatic Target Recognition Data Fusion
5
5
Image Data Fusion for Enhancement of Imagery Data
10
1
Spatial Data Fusion Applications
11
4
Summary
15
1
References
15
Data Registration
Richard R. Brooks
Lynne Grewe
Introduction
1
1
Registration Problem
2
1
Review of Existing Research
3
2
Registration Using Meta--Heuristics
5
2
Wavelet--Based Registration of Range Images
7
2
Registration Assistance/Preprocessing
9
1
Conclusion
10
1
Acknowledgments
10
1
References
11
Data Fusion Automation: A Top--Down Perspective
Richard Antony
Introduction
1
7
Biologically Motivated Fusion Process Model
8
6
Fusion Process Model Extensions
14
8
Observations
22
3
Acknowledgments
25
1
References
25
Contrasting Approaches to Combine Evidence
Joseph W. Carl
Introduction
1
1
Alternative Approaches to Combine Evidence
2
16
An Example Data Fusion System
18
13
Contrasts and Conclusion
31
1
The Axiomatic Definition of Probability
31
1
References
31
Part II Advanced Tracking and Association Methods
Target Tracking Using Probabilistic Data Association--Based Techniques with Applications to Sonar, Radar, and EO Sensors
T. Kirubarajan
Yaakov Bar--Shalom
Introduction
1
1
Probabilistic Data Association
2
6
Low Observable TMA Using the ML--PDA Approach with Features
8
9
The IMMPDAF for Tracking Maneuvering Targets
17
10
A Flexible--Window ML--PDA Estimator for Tracking Low Observable (LO) Targets
27
10
Summary
37
1
References
37
An Introduction to the Combinatorics of Optimal and Approximate Data Association
Jeffrey K. Uhlmann
Introduction
1
1
Background
2
2
Most Probable Assignments
4
1
Optimal Approach
5
2
Computational Considerations
7
1
Efficient Computation of the JAM
8
1
Crude Permanent Approximations
8
2
Approximations Based on Permanent Inequalities
10
2
Comparisons of Different Approaches
12
3
Large--Scale Data Associations
15
2
Generalizations
17
1
Conclusions
17
1
Acknowledgments
18
1
Algorithm for Data Association Experiment
18
1
References
19
A Bayesian Approach to Multiple--Target Tracking
Lawrence D. Stone
Introduction
1
2
Bayesian Formulation of the Single--Target Tracking Problem
3
5
Multiple--Target Tracking without Contacts or Association (Unified Tracking)
8
4
Multiple--Hypothesis Tracking (MHT)
12
10
Relationship of Unified Tracking to MHT and Other Tracking Approaches
22
1
Likelihood Ratio Detection and Tracking
23
7
References
30
Data Association Using Multiple Frame Assignements
Aubrey B. Poore
Suihua Lu
Brian J. Suchomel
Introduction
1
1
Problem Background
2
1
Assignment Formulation of Some General Data Association Problems
3
5
Multiple Frame Track Initiation and Track Maintenance
8
2
Algorithms
10
4
Future Directions
14
2
Acknowledgments
16
1
References
16
General Decentralized Data Fusion with Covariance Intersection (CI)
Simon Julier
Jeffrey K. Uhlmann
Introduction
1
1
Decentralized Data Fusion
2
3
Covariance Intersection
5
3
Using Covariance Intersection for Distributed Data Fusion
8
2
Extended Example
10
3
Incorporating Known Independent Information
13
6
Conclusions
19
2
The Consistency of CI
21
2
MATLAB Source Code (Conventional CI and Split CI)
21
1
Acknowledgments
21
3
References
24
Data Fusion in Nonlinear Systems
Simon Julier
Jeffrey K. Uhlmann
Introduction
1
1
Estimation in Nonlinear Systems
2
3
The Unscented Transformation (UT)
5
3
Uses of the Transformation
8
4
The Unscented Filter (UF)
12
1
Case Study: Using the UF with Linearization Errors
13
2
Case Study: Using the UF with a High--Order Nonlinear System
15
3
Multilevel Sensor Fusion
18
2
Conclusions
20
1
Acknowledgments
21
1
References
21
Random Set Theory for Target Tracking and Identification
Ronald Mahler
Introduction
3
7
Basic Statistics for Tracking and Identification
10
2
Multitarget Sensor Models
12
2
Multitarget Motion Models
14
1
The FISST Multisource--Multitarget Calculus
15
4
FISST Multisource--Multitarget Statistics
19
4
Optimal--Bayes Fusion, Tracking, ID
23
3
Robust--Bayes Fusion, Tracking, ID
26
4
Summary and Conclusions
30
1
Acknowledgments
30
1
References
30
Part III Systems Engineering and Implementation
Requirements Derivation for Data Fusion Systems
Ed Waltz
David L. Hall
Introduction
1
1
Requirements Analysis Process
2
1
Engineering Flow--Down Approach
3
2
Enterprise Architecture Approach
5
1
Comparison of Approaches
6
2
References
8
A Systems Engineering Approach for Implementing Data Fusion Systems
Christopher L. Bowman
Alan N. Steinberg
Scope
1
1
Architecture for Data Fusion
2
5
Data Fusion System Engineering Process
7
10
Fusion System Role Optimization
17
11
References
38
Studies and Analyses with Project Correlation: An In--Depth Assessment of Correlation Problems and Solution Techniques
James Llinas
Lori McConnel
Christopher L. Bowman
David L. Hall
Paul Applegate
Introduction
1
2
A Description of the Data Correlation (DC) Problem
3
1
Hypothesis Generation
4
4
Hypothesis Evaluation
8
1
Hypothesis Selection
9
8
Summary
17
1
References
18
Data Management Support to Tactical Data Fusion
Richard Antony
Introduction
1
1
Database Management Systems
2
1
Spatial, Temporal, and Hierarchical Reasoning
3
3
Database Design Criteria
6
8
Object Representation of Space
14
2
Integrated Spatial/Nonspatial Data Representation
16
1
Sample Application
17
8
Summary and Conclusions
25
1
Acknowledgments
25
1
References
25
Removing the HCI Bottleneck: How the Human--Computer Interface (HCI) Affects the Performance of Data Fusion Systems
Mary Jane M. Hall
Sonya A. Hall
Timothy Tate
Introduction
1
2
A Multimedia Experiment
3
2
Summary of Results
5
4
Implications for Data Fusion Systems
9
1
Acknowledgment
10
1
References
11
Assessing the Performance of Multisensor Fusion Processes
James Llinas
Introduction
1
2
Test and Evaluation of the Data Fusion Process
3
4
Tools for Evaluation: Testbeds, Simulations, and Standard Data Sets
7
4
Relating Fusion Performance to Military Effectiveness---Measures of Merit
11
6
Summary
17
1
References
17
Dirty Secrets in Multisensor Data Fusion
David L. Hall
Alan N. Steinberg
Introduction
1
1
The JDL Data Fusion Process Model
2
1
Current Practices and Limitations in Data Fusion
2
5
Research Needs
7
2
Pitfalls in Data Fusion
9
1
Summary
10
1
References
10
Part IV Sample Applications
A Survey of Multisensor Data Fusion Systems
Mary L. Nichols
Introduction
1
1
Recent Survey of Data Fusion Activities
1
1
Assessment of System Capabilities
2
5
References
7
Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems
Carl S. Byington
Amulya K. Garga
Introduction
1
2
Aspects of a CBM System
3
1
The Diagnosis Problem
4
3
Multisensor Fusion Toolkit
7
1
Application Examples
8
21
Concluding Remarks
29
1
Acknowledgments
30
1
References
30
Information Technology for NASA in the 21st Century
Robert J. Hansen
Daniel Cooke
Kenneth Ford
Steven Zornetzer
Introduction
1
1
NASA Applications
2
1
Critical Research Investment Areas for NASA
3
2
High--Performance Computing and Networking
5
1
Conclusions
6
Data Fusion for a Distributed Ground--Based Sensing System
Richard R. Brooks
Introduction
1
1
Problem Domain
2
1
Existing Systems
3
1
Prototype Sensors for SenseIT
4
1
Software Architecture
5
1
Declarative Language Front--End
6
1
Subscriptions
6
1
Mobile Code
7
1
Diffusion Network Routing
7
1
Collaborative Signal Processing
7
1
Information Security
8
1
Summary
8
1
Acknowledgments and Disclaimers
8
1
References
8
An Evaluation Methodology for Fusion Processes Based on Information Needs
Hans Keithley
Introduction
1
1
Information Needs
2
4
Key Concept
6
1
Evaluation Methodology
6
3
References
9
Part V Resources
Web Sites and News Groups Related to Data Fusion
Data Fusion Web Sites
1
2
News Groups
3
1
Other World Wide Web Information
4
1
Government Laboratories and Agencies
4
Index
1