Handbook of Multisensor Data Fusion
| Format: | Book |
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| Terbitan: |
POLBAN
, 2006
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| Subjects: |
Daftar Isi:
- This book is intended to be a comprehensive resource for data fusion system designers and researches, providing information on terminology, models, algorithms, systems engineering issues, and examples of applications. The book is divided into four main parts. Part I introduces data fusion terminology and models. Part II of this book presents alternative views of this multisensor, multitarget tracking problem. Part III of this book address issues of the design and development of data fusion systems. Part Iv of this book provides a taste of the breadth of apllication to which data fusion technology can be applied. Table of contents: Chapter 1: Multisensor Data Fusion Chapter 2: Revisions to the JDL Data fusion Model Chapter 3: Introduction to the Algorithmics of Data Association in Multiple-Target Tracking Chapter 4: The Principles and Practice of Image and spatial Data Fusion* Chapter 5: Data Registration Chapter 6: Data Fusion Automation : A Top-Down Perpective Chapter 7: Contrasting Approaches to Combine Evidence Chapter 8: Target Tracking Using Probabilistic Data Association-Based Techniques with Applications to Sonar, Radar, and EO Se Chapter 9: An Introduction to the Combinatorics of Optimal and Approximate Data Aasociation Chapter 10: A Bayesian Approach to Multiple-Target Tracking Cahpter 11: Data Association Using Multiple Frame Assigments Chapter 12: General Decentralized Data Fusion with Covariance Intersection (CI) Chapter 13: Data Fusion in Nonlinear Systems Chapter 14: Random Set Theory for Target Tracking and Identification Chapter 15: Requirements Derivations for Data Fusion Systems Chapter 16: A Systems Engineering Approach for Implementing Data Fusion Systems Chapter 17: Studies and Analyses within Project Correlation: An In-Depth Assesment of Corelation Problems and Solution Tech Chapter 18: Data Management Support to Tactical Data Fusion Chapter 19: Removing the HCI Bottleneck: How the Human-Computer Interface (HCI) Affects the Performance of DAta Fusion System Chapter 20: Assessing the Performance of Multisensor Fusion Processes Chapter 21: Dirty Secrets in Multisensor Data Fusion Chapter 22: A Survey of Multisensor Data Fusion Systems Chapter 23: Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems Chapter 24: Information Technology for NASA in the 21st Century Chapter 25: Data Fusion for a Distributed Ground-Based Sensing System Chapter 26: An Evaluation Methodology for Fusion Processes Based on Information Needs