Handbook of multisensor data fusion : theory and practice / edited by Martin E. Liggins, David L. Hall, James Llinas.
Series: Electrical engineering and applied signal processing seriesPublisher: Boca Raton, FL : CRC Press, [2009]Copyright date: (copy)2009Edition: Second editionDescription: 1 online resource (1 volume) : illustrations, mapsContent type:- text
- computer
- online resource
- 9781351835374
- 1351835378
- 9781420053098
- 1420053094
- TK5102.9

Description based on print version record.
Includes bibliographical references and index.
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.