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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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Norwood :
Artech House,
2008.
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| Subjects: | |
| Online Access: |
Full text (MFA users only) |
| ISBN: | 9781596932821 1596932821 9781596932814 1596932813 |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- 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.
- About the AuthorIndex.