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Cover image for Principles of data fusion automation
Title:
Principles of data fusion automation
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Publication Information:
Boston, Mass. : Artech House, 1995
ISBN:
9780890067604

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30000004687012 QA76.9.A43 A57 1995 Open Access Book Book
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Summary

Summary

Multisensor fusion systems are only practical if the algorithms used are practical and effective, and if there is efficient database support. The first part of this book discusses a wide range of issues related to the development of robust, context-sensitive, and efficient data fusion algorithms. The second part addresses database requirements, structures, and issues related to achieving overall computational efficiency. Featuring highly accessible notation, the processing model and database issues presented in the text are aimed at system developers working in sensor fusion, automatic target recognition, multiple-target tracking, robotic control, automated image understanding, and large-scale integration and fabrication.


Table of Contents

Introduction and Perspectives
Data Fusion Process Model
Examples of the 16 Canonical Problem-Solving Forms
Conventional Problem-Solving Paradigms
Algorithm Issue Summary
Database Requirements
Database Design Considerations
Integrated Semantic/Spatial Database Kernel
Database Extensions
Database Issues Summary
Summary of Algorithm and Database Principles
Hierarchical, Spatial, and Temporal Reasoning
Comprehensive Examples
Conclusions and Future Directions
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