[...]... 2.2.1 What Is Data Fusion? What Isn’t? The Role of Data Fusion Often, the role of data fusion has been unduly restricted to a subset of the relevant processes Unfortunately, the universality of data fusion has engendered a profusion of overlapping research and development in many applications A jumble of confusing terminology (illustrated in Figure 2.1) and ad hoc methods in a variety of scientific,... techniques for data fusion • E Waltz and J Llinas, Multisensor Data Fusion, Artech House, Inc (1990) — presents an excellent overview of data fusion especially for military applications • L A Klein, Sensor and Data Fusion Concepts and Applications, SPIE Optical Engineering Press, Volume TT 14 (1993) — presents an abbreviated introduction to data fusion • R Antony, Principles of Data Fusion Automation,... The JDL Data Fusion Process Model 21.3 Current Practices and Limitations in Data Fusion 21.4 Research Needs 21.5 Pitfalls in Data Fusion 21.6 Summary References Part IV 22 Sample Applications A Survey of Multisensor Data Fusion Systems 22.1 Introduction 22.2 Recent Survey of Data Fusion Activities 22.3 Assessment of System Capabilities ©2001 CRC Press LLC Mary L Nichols References 23 Data Fusion for... fundamental terms, such as correlation and data fusion To improve communications among military researchers and system developers, the Joint Directors of Laboratories (JDL) Data Fusion Working Group, established in 1986, began an effort to codify the terminology related to data fusion The result of that effort was the creation of a process model for data fusion and a data fusion lexicon, shown in Figure 1.5... of Multisensor Fusion Processes James Llinas 20.1 Introduction 20.2 Test and Evaluation of the Data Fusion Process 20.3 Tools for Evaluation: Testbeds, Simulations, and Standard Data Sets 20.4 Relating Fusion Performance to Military Effectiveness — Measures of Merit 20.5 Summary References 21 Dirty Secrets in Multisensor Data Fusion Steinberg David L Hall and Alan N 21.1 Introduction 21.2 The JDL Data. .. Introduction The data fusion model, developed in 1985 by the U.S Joint Directors of Laboratories (JDL) Data Fusion Group*, with subsequent revisions, is the most widely used system for categorizing data fusion- related functions The goal of the JDL Data Fusion Model is to facilitate understanding and communication among acquisition managers, theoreticians, designers, evaluators, and users of data fusion techniques... Recognition Data Fusion • Image Data Fusion for Enhancement of Imagery Data • Spatial Data Fusion Applications • Summary 5 Data Registration Richard R Brooks and Lynne Grewe Introduction • Registration Problem • Review of Existing Research • Registration Using Meta-Heuristics • Wavelet-Based Registration of Range Images • Registration Assistance/Preprocessing • Conclusion • Acknowledgments 6 Data Fusion. .. problems of estimating one’s own location and motion, of calibrating one’s sensor performance and alignment, and of validating one’s library of target sensor and environment models The data fusion problem, then, becomes that of achieving a consistent, comprehensive estimate and prediction of some relevant portion of the world state In such a view, data fusion involves exploiting all sources of data to... revision proposes the following concise definition for data fusion: 3 Data fusion is the process of combining data or information to estimate or predict entity states Data fusion involves combining data — in the broadest sense — to estimate or predict the state of some aspect of the universe Often the objective is to estimate or predict the physical state of entities: their identity, attributes, activity,... Data Fusion 1 Multisensor Data Fusion David L Hall and James Llinas Introduction • Multisensor Advantages • Military Applications • Nonmilitary Applications • Three Processing Architectures • A Data Fusion Process Model • Assessment of the State of the Art • Additional Information 2 Revisions to the JDL Data Fusion Model Christopher L Bowman Alan N Steinberg and Introduction • What Is Data Fusion? What . Levels of Combination for Multisensor Automatic Target Recognition Data Fusion • Image Data Fusion for Enhancement of Imagery Data • Spatial Data Fusion. Applications 22 A Survey of Multisensor Data Fusion Systems Mary L. Nichols 22.1 Introduction 22.2 Recent Survey of Data Fusion Activities 22.3 Assessment of System Capabilities ©2001