Book description
Expanding the scope of the best-selling first edition, this volume introduces nine additional chapters and updates others to focus on developments in the fusion of data in a variety of applications from military to automotive to medical. It provides much-needed information on mathematical techniques and computer methods employed to perform fusion. The added material covers, among other areas, advances in Kalman filtering, fusion in a network centric environment, service-oriented architecture concepts, intelligent agents for improved decision making, off-the-shelf tools to assist development of data fusion systems, and current medical applications.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Acknowledgment
- Editors
- Contributors
- 1 Multisensor Data Fusion
- 2 Data Fusion Perspectives and Its Role in Information Processing
- 3 Revisions to the JDL Data Fusion Model
- 4 Introduction to the Algorithmics of Data Association in Multiple-Target Tracking
- 5 Principles and Practice of Image and Spatial Data Fusion
- 6 Data Registration
- 7 Data Fusion Automation: A Top-Down Perspective
- 8 Overview of Distributed Decision Fusion
- 9 Introduction to Particle Filtering: The Next Stage in Tracking
- 10 Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Sensors
- 11 Introduction to the Combinatorics of Optimal and Approximate Data Association
- 12 Bayesian Approach to Multiple-Target Tracking
- 13 Data Association Using Multiple-Frame Assignments
- 14 General Decentralized Data Fusion with Covariance Intersection
- 15 Data Fusion in Nonlinear Systems
- 16 Random Set Theory for Multisource-Multitarget Information Fusion
- 17 Distributed Fusion Architectures, Algorithms, and Performance within a Network-Centric Architecture
- 18 Foundations of Situation and Threat Assessment
- 19 Introduction to Level 5 Fusion: The Role of the User
- 20 Perspectives on the Human Side of Data Fusion: Prospects for Improved Effectiveness Using Advanced Human–Computer Interfaces
- 21 Requirements Derivation for Data Fusion Systems
- 22 Systems Engineering Approach for Implementing Data Fusion Systems
- 23 Studies and Analyses within Project Correlation: An In-Depth Assessment of Correlation Problems and Solution Techniques
- 24 Data Management Support to Tactical Data Fusion
- 25 Assessing the Performance of Multisensor Fusion Processes
- 26 Survey of COTS Software for Multisensor Data Fusion
- 27 Survey of Multisensor Data Fusion Systems
- 28 Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems
- 29 Adapting Data Fusion to Chemical and Biological Sensors
- 30 Fusion of Ground and Satellite Data via Army Battle Command System
- 31 Developing Information Fusion Methods for Combat Identification
- Index
Product information
- Title: Handbook of Multisensor Data Fusion, 2nd Edition
- Author(s):
- Release date: January 2017
- Publisher(s): CRC Press
- ISBN: 9781351835374
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