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Sensor and Data Fusion Concepts and Applications Book PDF Summary

First published in 1993, this Tutorial Text has been revised and updated to provide explanations and examples of data fusion algorithms in areas not covered in the first edition. These include Bayesian inference, artificial neural networks and fuzzy logic. All of the chapters in the first edition have been revised and updated and new material is included on the FASCODE and MODTRAN atmospheric models, and EOSAEL, which analyzes physical processes that affect the performance of millimeter-wave and IR sensors.

Detail Book of Sensor and Data Fusion Concepts and Applications PDF

Sensor and Data Fusion Concepts and Applications
  • Author : Lawrence A. Klein
  • Release : 01 October 1999
  • Publisher : SPIE-International Society for Optical Engineering
  • ISBN : STANFORD:36105021737866
  • Genre : Technology & Engineering
  • Total Page : 256 pages
  • Language : English
  • PDF File Size : 20,5 Mb

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