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Expanding the scope of the bestselling first edition, this new edition is now in two volumes. It contains nine new chapters and focuses on the most recent developments in the fusion of data in a variety of applications from military to automotive to medical. It provides information on mathematical techniques and computer methods employed to perform fusion. The set includes new material on target tracking and identification, situation refinement, consequence prediction, resource allocation and refinement, and human computer interaction and cognitive support. It provides new material on engineering issues such as fusion in distributed network systems, information security, and issues with service-oriented architectures.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolution of computers and the maturation of data fusion technology, the door to using data fusion in everyday applications is now wide open and presenting great opportunities.
The Handbook of Multisensor Data Fusion provides a unique, comprehensive, and up-to-date resource for data fusion systems designers and researchers. Divided into five parts, it:
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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