Overview

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.

Full Product Details

Author:   Richard T. Antony
Publisher:   Artech House Publishers
Imprint:   Artech House Publishers
Dimensions:   Width: 15.20cm , Height: 3.10cm , Length: 22.90cm
Weight:   0.890kg
ISBN:  

9780890067604

ISBN 10:   0890067600
Pages:   492
Publication Date:   31 May 1995
Audience:   Professional and scholarly ,  General/trade ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part 1 Introduction and perspectives: command and control metaphor; sensory fusion - biological motivations; the functional fusion model; fusion system architectures; justifications and illustrations of the functional fusion model; data fusion metaphors; context-sensitive reasoning; data fusion literature. Part 2 Data fusion process model: fusion process model; biologically-motivated process model extensions; data fusion class examples; canonical problem-solving forms; relationship between the functional-level and process-level fusion models; consistency analysis. Part 3 Examples of the sixteen canonical problem-solving forms: generation-based approaches; hypothesis-based approaches. Part 4 Conventional problem-solving paradigms: fusion process model extension; paradigm review; paradigm assignment. Part 5 Algorithm issues summary: summary of the sixteen canonical problem-solving; characteristics of the higher-order canonical forms; a few observations. Part 6 Database requirements: database models; algorithm requirements; general limitations of classes of database systems. Part 7 Database design considerations: fundamental approaches to database design; design issues; database representation issues; database design compromise. Part 8 Integrated semantic/spatial database kernel: high-level database kernel organization; the quadtree data representation; detailed database design; hardware architecture. Part 9 Database extensions: database query language; query optimization; higher-level queries; contemporary database issues. Part 10 Database issues summary: database representation; query optimization. Part 11 Summary of algorithm and database principles: the functional fusion model; information combination - commensurate data sets; nontactical applications; conventional approaches; general data fusion principles; specific algorithm principles; database principles. Part 12 Hierarchical, spatial, and temporal reasoning: hierarchical reasoning; spatial reasoning; temporal reasoning. Part 13 Comprehensive examples: target tracking; target classification; path planning; templating. Part 14 Conclusions and future directions: toward a unification information processing model; technical challenges.

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