Mathematics of Data Fusion
Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, a...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
1997, 1997
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| Edition: | 1st ed. 1997 |
| Series: | Theory and Decision Library B, Mathematical and Statistical Methods
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 1.1 What is Data Fusion?
- 1.2 Random Set Theory
- 1.3 Conditional and Relational Event Algebra
- I Introduction to Data Fusion
- 2 Data Fusion and Standard Techniques
- II The Random Set Approach to Data Fusion
- 3 Foundations of Random Sets
- 4 Finite Random Sets
- 5 Finite-Set Statistics
- 6 Fusion of Unambiguous Observations
- 7 Fusion of Ambiguous Observations
- 8 Output Measurement
- III Use of Conditional and Relational Events in Data Fusion
- 9 Introduction to the Conditional and Relational Event Algebra Aspects of Data Fusion
- 10 Potential Application of Conditional Event Algebra to Combining Conditional Information
- 11 Three Particular Conditional Event Algebras
- 12 Further Development of Product Space Conditional Event Algebra
- 13 Product Space Conditional Event Algebra as a Tool for Further Analysis of Conditional Event Algebra Issues
- 14 Testing of Hypotheses for Distinctness of Events and Event Similarity Issues
- 15 Testing Hypotheses And Estimation Relative To Natural Language Descriptions
- 16 Development of Relational Event Algebra Proper to Address Data Fusion Problems