H B Mitchell

Data Fusion: Concepts and Ideas (eBook, PDF)

• Format: PDF

Produktbeschreibung

"Data Fusion: Concepts and Ideas" provides a comprehensive introduction to the concepts and idea of multisensor data fusion. This textbook is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction". The book is self-contained and no previous knowledge of multi-sensor data fusion is assumed. The reader is made familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory which are combined by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references. The new completely revised and updated edition includes nearly 70 pages of new material including a fullnew chapter as well as approximately 30 new sections, 50 new examples and 100 new references as well as additional Matlab code where appropriate.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 346
• Erscheinungstermin: 9. Februar 2012
• Englisch
• ISBN-13: 9783642272226
• Artikelnr.: 37372725

Inhaltsangabe

Introduction.- Sensors.- Architecture.- Common Representational Format.- Spatial Alignment.- Temporal Alignment.- Semantic Alignment.- Radiometric Normalization.- Bayesian Inference.- Parameter Estimation.- Robust Statistics.- Sequential Bayesian Inference.- Bayesian Decision Theory.- Ensemble Learning.- Sensor Management.