Data Fusion: Concepts and Ideas

• Main Author: Mitchell, H B. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Edition: 2nd ed. 2012.
• Subjects: Engineering.; Computational intelligence.; Electronics.; Microelectronics.; Signal, Image and Speech Processing.; Computational Intelligence.; Electronics and Microelectronics, Instrumentation.

“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...

Table of Contents:

• 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.