ریاضیات ادغام داده: نظریه و عمل ۲۰۱۵
Data Fusion Mathematics: Theory and Practice 2015

1. Cover

2. Contents

3. Preface

4. Acknowledgements

5. Introduction

6. Author

7. 1: Introduction to Data Fusion Process

8. 2: Statistics, Probability Models and Reliability: Towards Probabilistic Data Fusion

9. 3: Fuzzy Logic and Possibility Theory-Based Fusion

10. 4: Filtering, Target Tracking and Kinematic Data Fusion

11. 5: Decentralised Data Fusion Systems

12. 6: Component Analysis and Data Fusion

13. 7: Image Algebra and Image Fusion

14. 8: Decision Theory and Fusion

15. 9: Wireless Sensor Networks and Multimodal Data Fusion

16. 10: Soft Computing Approaches to Data Fusion

17. Appendix A: Some Algorithms and/or Their Derivations

18. Appendix B: Other Methods of DF and Fusion Performance Evaluation Metrics

19. Appendix C: Automatic Data Fusion

20. Appendix D: Notes and Information on Data Fusion Software Tools

21. Appendix E: Definitions of Sensor DF in Literature

22. Appendix F: Some Current Research Topics in DF