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High-Level Data Fusion.

The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and emerging technologies like particle filtering, spatiotemporal clustering, net-centricity, agent formalism, and distributed fusion together with...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Das, Subrata Kumar
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood : Artech House, 2008.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a High-Level Data Fusion; Table of Contents; Preface; Chapter 1: Models, Architectures, and Data; Chapter 2: Mathematical Preliminaries; Chapter 3: Approaches to Handling Uncertainty; Chapter 4: Introduction to Target Tracking; Chapter 5: Target Classification and Aggregation; Chapter 6: Model-Based Situation Assessment; Chapter 7: Modeling Time for Situation Assessment; Chapter 8: Handling Nonlinear and Hybrid Models; Chapter 9: Decision Support; Chapter 10: Learning of Fusion Models; Chapter 11: Towards Cognitive Agents for Data Fusion; Chapter 12: Distributed Fusion; References. 
505 8 |a About the AuthorIndex. 
520 |a The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and emerging technologies like particle filtering, spatiotemporal clustering, net-centricity, agent formalism, and distributed fusion together with essential Level 1 techniques and Level 1/2 interactions. 
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