Principles Of Data Fusion Automation / Edition 1

by Richard T Antony

Overview

Written with a minimum of technical jargon, this unique, easy-to-understand book strengthens your understanding of the key principles behind efficient approaches to data fusion problem-solving and database management system design, and connects these principles to help you design better, more effective fusion algorithms.

Product Details

ISBN-13:	9780890067604
Publisher:	Artech House, Incorporated
Publication date:	05/31/1995
Pages:	492
Product dimensions:	6.00(w) x 9.00(h) x 1.25(d)

Table of Contents

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.

Editorial Reviews

Keeping technical jargon and mathematical formulations to a minimum, establishes a system-level view of the data fusion process and covers principles of fusion algorithms, for readers with a general technical background. Part I describes a biologically motivated data- fusion process model illustrating important algorithm and database issues. Part II discusses database issues relevant to data fusion. Part III presents algorithms demonstrating the practical advantages of effective database management system support. Includes b&w diagrams. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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