Ebook Data Fusion Support to Activity-Based Intelligence (The Artech House Intelligence and Information Operations Series), by Richard T. Antony
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Data Fusion Support to Activity-Based Intelligence (The Artech House Intelligence and Information Operations Series), by Richard T. Antony
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This new resource provides a coherent, intuitive, and theoretical foundation for the fusion and exploitation of traditional sensor data as well as text-based information. In addition to presenting a detailed discussion of base-level data fusion requirements, a variety of higher level exploitation algorithms are presented that perform fully automated relationship discovery, rank interest level of entities, and support context-sensitive behavior understanding (both static and dynamic context). This book identifies eight canonical fusion forms as well as twenty foundational fusion services to enable formal mapping between models and services. Normalization and representation processes for (hard) sensor data and (soft) semantic data are described as well as methods for combining hard and soft data.
- Sales Rank: #1974178 in Books
- Published on: 2015-11-15
- Original language: English
- Dimensions: 9.25" h x 6.25" w x 1.25" l, 1.56 pounds
- Binding: Hardcover
- 348 pages
Review
Having worked with Richard Antony in various task contexts over a number of years, I am not surprised that this book provides an extremely clear and detailed descriptive review of concepts, methods, and issues related to the design of modern Data Fusion processes. Several years ago, with the domain of Data Fusion technologies having started in the 1980 s, researchers in the field considered the field maturing . Experience however has shown that both the problem domains that Data Fusion methods address and the multidisciplinary technologies that Data Fusion methods are grounded in have continued to evolve at a Moore s Law type of pace, and have required that Data Fusion researchers and developers continue to evolve and adapt their basic design and development guidelines. In the face of this dynamic environment, this book does a great job of developing fresh new insights into these R&D challenges. --Dr. James Llinas, Professor (Emeritus), Founder and Director (Emeritus), Center for Multisource Information Fusion, State University of New York at Buffalo
I cannot recommend this book highly enough; Fusion is an immature discipline and there have been several important books on the topic over the years. However, this one truly breaks new ground establishing new foundational theories for how we can deal with and combine soft data and information such as text and HUMAN reports with traditional measurements also known as hard data. These new concepts are coupled with the practicality of system capabilities and functioning prototypes based on the new theoretical foundations. The book provides truly unique and workable series of fusion services which going forward will be a great benefit to practitioners and developers who need them in their daily jobs and in the development of systems to support the analysts and decision makers. Further, because it is so accessible and readable many of the generalists and analysts who may have been frightened off by the dense mathematical nature of so many fusion tomes can gain much from this book. I recommend this book to all specialists but also to a much broader audience who can benefit from the seminal work presented in its pages. --Franklin E. White, Contract Engineer, MITRE Corp.
Richard Antony's new book on Data Fusion Support to Activity-Based Intelligence is a welcome addition to the data fusion literature. Antony, well known for his contributions to multi-sensor data fusion, and author of the 1995 text, Principles of Data Fusion Automation, is a clear domain expert regarding data, inferences, decision processes, and utilization of data fusion systems for military applications. While a number of existing texts provide details on target tracking, signal processing, pattern recognition and data fusion mathematics and algorithms, virtually none exhibit the domain expertise provided by Antony. Antony s previous text set the stage for development of automated processes for information fusion by identifying key types of information and knowledge needed for situation awareness and threat refinement. The new text provides further insight into these areas, particularly as they apply to the modern challenge of activity based intelligence (ABI). Antony describes the foundational information theory of ABI including the fundamental types of data, inferences sought, reasoning logic, and the mapping from sensor data to semantic level representations of situations. The book introduces a prototype system for context and fusion support and uses this prototype to explore high level reasoning and special functions such as high value entity discovery, exploring the characteristics and relationships between complex entities and the development of special information filters and alert functions. The book illustrates clearly the value of linking physical sensor data with human observations and context-based knowledge. His two chapters on spatial reasoning and temporal reasoning are of special value. Overall, I would strongly recommend this clearly written and insightful text. --David L. Hall, College of Information Sciences and Technology, The Pennsylvania State University
About the Author
Richard Antony is a retired Chief Scientist formally of Leidos Corporation and VSG. He received both BS and MS degrees in Electrical Engineering from the University of Maryland. Mr. Antony holds one US patent and is the recipient of both the US Army R&D Achievement and the Joe Mignogna data fusion awards.
Most helpful customer reviews
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Excellent, Timely, and Important Book
By J.D. Simon
Richard Antony’s book is a fascinating journey into the world of data fusion and intelligence. In today’s information-overload society, it is crucial that we have tools that can be used to make sense of the endless stream of both hard and soft data that is available. Mr. Antony provides us with just that, a way to learn the relationships among different entities in intelligence messages. He creatively utilizes several unclassified scenarios and accompanying messages of criminal and terrorist activities to illustrate his argument regarding the value of text-based information for developing Intel exploitation systems. His many tables and figures are quite impressive and demonstrate the careful thought and analysis that went into the writing of this book. I highly recommend Data Fusion Support to Activity-Based Intelligence for students, scholars, and intelligence professionals.
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