Since
the publication of the first edition of this groundbreaking book, advances in
algorithms, logic, and software tools have transformed the field of data
fusion. The latest edition covers these areas as well as smart agents, human
computer interaction, cognitive aides to analysis, and data system fusion
control.
Besides
aiding you in selecting the appropriate algorithm for implementing a data
fusion system, this book guides you through the process of determining the
trade-offs among competing data fusion algorithms, selecting commercial off the
shelf (COTS) tools, and understanding when data fusion improves systems
processing. Completely new chapters in this second edition explain data fusion
system control, DARPA’s recently developed TRIP model, and the latest
applications of data fusion in data warehousing and medical equipment, as well
as defense systems.
Artech House is pleased to offer you this title in a special In-Print-Forever® (IPF®) hardbound edition.
This book is not available from inventory but can be printed at your request and delivered within 2–4 weeks of receipt of order.
Please note that because IPF® books are printed on demand, returns cannot be accepted.
Introduction
to Multisensor Data Fusion - Introduction, Fusion Applications, Sensors and
Sensor Data, The Inference Hierarchy, A Data Fusion Model, Benefits of Data
Fusion, Architectural Concepts and Issues. Limitation of Data Fusion, References
Taxonomy
of Algorithms and JDL Model - Taxonomy Overview, Positional Fusion Algorithms,
Identity Fusion Algorithms, Ancillary Support Algorithms, References
Level
1: Data Association and Correlation - Process Model for Correlation, Hypothesis
Generation, Hypothesis Evaluation, Hypothesis Selection Techniques, References
Level
1: Kinematic and Attribute Estimation - Introduction, Overview of Estimation
Techniques, Batch Estimation, Sequential Estimation, Covariance Error
Estimation, References
Level
1: Identity Declaration - Identity Declaration and Pattern Recognition, Feature
Extraction, Parametric Templates, Cluster Analysis Techniques, Adaptive Neural
Networks, Physical Models, Knowledge-Based Methods, Hybrid Methods, References
Level
1: Decision-Level Identity Fusion - Introduction, Classical Inference, Bayesian
Inference, Dempster-Shafer’s Method, Generalized Evidence Processing Theory,
Heuristic Methods, Implementation and Tradeoffs, References
Levels
2 and 3: Knowledge-Based Approaches - Introduction to Artificial Intelligence,
Overview of Expert Systems, Bayesian Belief Nets, Intelligent Agent Systems,
Implementation of Expert Systems, Logical Templating Techniques, References
Level
4: Process Monitoring and Optimization - Introduction, Extending the Concept of
Level 4 Processing, Techniques for Level 4 Processing, Auction-based Methods,
and References
Level
5: Human Computer Interaction - Introduction, Cognitive Aspects of Situation
Assessment, Individual Differences in Information Processing, Enabling HCI
Technologies, Computer-Aided Situation Assessment, An SBIR Experiment,
References
Implementing
Data Fusion Systems - Introduction, Requirements Derivation, Sensor Selection
and Evaluation, Function Allocation and Decomposition, Architecture Definition,
Algorithm Selection, Data Base Definition, HCI Design, Test and Evaluation,
References
Emerging
Applications - Introduction, Military Applications; Emerging Nonmilitary
Applications; COTS Software Survey, Perspectives and Comments, References
TRIP
Model - Background, Introduction, TRIP Model, Process Control, Functional
Analyses using the TRIP Model, Application of the TRIP Model to the Information
Production Process, Summary, References
Automated
Information Management - Introduction, Initial Automated Information Manager,
Automated Targeting Data Fusion: Structure and Flow, References
Index
David L. Hall is the associate dean for
research and graduate programs at The Pennsylvania State University, School of
Information Sciences and Technology. He is also the author of
Lectures in
Multisensor Data Fusion and Target Tracking (Artech House, 2001). He earned
his M.S. in Astronomy at The Pennsylvania State University.
is a Captain with the US Air Force. She earned an M.S. in aerospace engineering
at Embry-Riddle Aeronautic University.