Handbook of multisensor data fusion : theory and practice / edited by Martin E. Liggins, David L. Hall, James Llinas.
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| Online Access: |
Full Text (via Taylor & Francis) |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
[2009]
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| Edition: | Second edition. |
| Series: | Electrical engineering and applied signal processing series.
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| Subjects: |
Table of Contents:
- Multisensor data fusion Data fusion perspectives and its role in information processing
- Revisions to the JDL data fusion model
- Introduction to the algorithmics of data association in multiple-target tracking
- Principles and practice of image and spatial data fusion
- Data registration
- Data fusion automation : a top-down perspective
- Overview of distributed decision fusion
- Introduction to particle filtering : the next stage in tracking
- Target tracking using probabilistic data association-based techniques with applications to sonar, radar, and EO sensors
- Introduction to the combinatorics of optimal and approximate data association
- Bayesian approach to multiple-target tracking
- Data association using multiple-frame assignments
- General decentralized data fusion with covariance intersection
- Data fusion in nonlinear systems
- Random set theory for multisource-multitarget information fusion
- Distributed fusion architectures, algorithms, and performance within a network-centric architecture
- Foundations of situation and threat assessment
- Introduction to level 5 fusion : the role of the user
- Perspectives on the human side of data fusion : prospects for improved effectiveness using advanced human-computer interfaces
- Requirements derivation for data fusion systems
- Systems engineering approach for implementing data fusion systems
- Studies and analyses within project correlation : an in-depth assessment of correlation problems and solution techniques
- Data management support to tactical data fusion
- Assessing the performance of multisensor fusion processes
- Survey of COTS software for multisensor data fusion
- Survey of multisensor data fusion systems
- Data fusion for developing predictive diagnostics for electromechanical systems
- Adapting data fusion to chemical and biological sensors
- Fusion of ground and satellite data via Army battle command systems
- Developing information fusion methods for combat identification.