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Handbook of multisensor data fusion : theory and practice /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Liggins, Martin E. (Editor ), Hall, David L. (David Lee), 1946-2015 (Editor ), Llinas, James (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2009]
Edición:Second edition.
Colección:Electrical engineering and applied signal processing series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.