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Data fusion : concepts and ideas /

By: Publication details: Berlin : Springer-Verlag, 2012.Edition: 2nd edDescription: xiv, 344 p. : ill. ; 24 cmISBN:
  • 9783642437304
Subject(s): DDC classification:
  • 004 23 M681
Contents:
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.-
Summary: 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.
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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.-

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.

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