Sensor and Data Fusion Concepts and Applications

This book PDF is perfect for those who love Technology & Engineering genre, written by Lawrence A. Klein and published by SPIE-International Society for Optical Engineering which was released on 06 May 1999 with total hardcover pages 256. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Sensor and Data Fusion Concepts and Applications books below.

Sensor and Data Fusion Concepts and Applications
Sensor and Data Fusion Concepts and Applications
Author : Lawrence A. Klein
File Size : 52,7 Mb
Publisher : SPIE-International Society for Optical Engineering
Language : English
Release Date : 06 May 1999
ISBN : STANFORD:36105021737866
Pages : 256 pages
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Sensor and Data Fusion Concepts and Applications by Lawrence A. Klein 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.

Sensor and Data Fusion Concepts and Applications

Sensor and Data Fusion Concepts and Applications by Lawrence A. Klein

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

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Multisensor Data Fusion

Multisensor Data Fusion by Hassen Fourati

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art

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Sensor and Data Fusion

Sensor and Data Fusion by Lawrence A. Klein

This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Applications that benefit from this technology include: vehicular traffic management, remote sensing, target classification and tracking- weather forecasting- military and homeland defense. Covering

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Handbook of Multisensor Data Fusion

Handbook of Multisensor Data Fusion by Martin Liggins II,David Hall,James Llinas

In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second

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Data Fusion Concepts and Ideas

Data Fusion Concepts and Ideas by H B Mitchell

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart

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Mathematical Techniques in Multisensor Data Fusion

Mathematical Techniques in Multisensor Data Fusion by David Lee Hall,Sonya A. H. McMullen

Since the publication of the first edition of this book, advances in algorithms, logic and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis and data system fusion control. data fusion system,

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Multi Sensor Data Fusion

Multi Sensor Data Fusion by H.B. Mitchell

This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor

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Multisensor Data Fusion

Multisensor Data Fusion by David Hall,James Llinas

The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid

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