Handbook of Multisensor Data Fusion: Theory and Practice, by Martin Liggins II, David Hall, James Llinas

By Martin Liggins II, David Hall, James Llinas

In case you are or are within the details fusion box you need to have this book.

Expanded from the first version, this ebook retains and complements the chapters within the first publication, but provides many very important new ones, in particular within the pragmatic implementation of knowledge fusion. you need to learn the bankruptcy by means of Dr. Steinberg on fusion purposes. i have used this e-book and its predecessor as reference fabric for my dissertation! this can be very invaluable examining and it's a significant vast compilation written via the who is who within the fusion group.

You cannot say you are within the fusion box until you personal this book!!!

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Extra info for Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering & Applied Signal Processing Series)

Example text

The data and information needed to anticipate the attacks were arguably available from a wide variety of sources but were dispersed over 18 Handbook of Multisensor Data Fusion: Theory and Practice organizational hierarchies, times, and locations, and thus the information was not fused and made available to the total intelligence community and the responsible commanders. In the case of the Battle of the Bulge, for example, ULTRA intercepts and information from other highly sensitive sources—in particular, human intelligence (HUMINT)—were provided to senior echelons of intelligence organizations but not passed to the lower echelons, principally for security reasons (protection of sources and means).

Knowledge and understanding of the customer/user, his/her information needs, decision processes, etc. Although it is impossible for any individual to possess all the requisite knowledge and understanding, it is important to have it available to the process. In the past, this was accomplished by colocating as much of the expertise and resources as possible, the OIC being an excellent example. Modern information technology offers promising ways to accomplish colocation within a networked enterprise, and the potential impact of new information concepts on fusion will be a consistent theme throughout this chapter.

Functional models have proven useful in systems engineering by providing visualization of a framework for partitioning and relating functions and serving as a checklist for functions a system should provide. In systems engineering, they are only a single step in a many step process. In this progression, a functional model lays out functions and relationships in a generic context whereas a process or process flow model performs a selection and mapping of functions, including inputs and outputs in a specific way to meet a particular goal.

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