TY  - GEN
AU  - Mitchell,H.B.
TI  - Data fusion : : concepts and ideas 
SN  - 9783642437304
U1  - 004 23
PY  - 2012///
CY  - Berlin
PB  - Springer-Verlag
KW  - Multisensor data fusion
KW  - Engineering
KW  - Electronics
N1  - Includes bibliographical references and index; 1. Introduction.- 
2. Sensors.- 
3. Architecture.- 
4. Common Representational Format.- 
5. Spatial Alignment.- 
6. Temporal Alignment.- 
7. Semantic Alignment.- 
8. Radiometric Normalization.- 
9. Bayesian Inference.- 
10. Parameter Estimation.- 
11. Robust Statistics.- 
12. Sequential Bayesian Inference.- 
13. Bayesian Decision Theory.- 
14. Ensemble Learning.- 
15. Sensor Management.-
Background material.-
N2  - This extensively revised second edition is a wide-ranging introduction to the concepts and ideas of multisensor data fusion, illustrated with a wealth of real-life examples. It includes 30 new sections along with an extensive list of up-to-date references
ER  -