Title:
Principles of data fusion automation
Personal Author:
Publication Information:
Boston, Mass. : Artech House, 1995
ISBN:
9780890067604
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000004687012 | QA76.9.A43 A57 1995 | Open Access Book | Book | Searching... |
On Order
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 |