Signal Processing, Sensor Fusion, and Target Recognition VI.

Signal Processing, Sensor Fusion, and Target Recognition VI.
Title Signal Processing, Sensor Fusion, and Target Recognition VI. PDF eBook
Author Ivan Kadar
Publisher
Pages 600
Release 1997
Genre Electronic books
ISBN

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Signal Processing, Sensor Fusion, and Target Recognition VI

Signal Processing, Sensor Fusion, and Target Recognition VI
Title Signal Processing, Sensor Fusion, and Target Recognition VI PDF eBook
Author Ivan Kadar
Publisher Society of Photo Optical
Pages 600
Release 1997
Genre Automatic tracking
ISBN 9780819424839

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Signal Processing, Sensor Fusion, and Target Recognition III

Signal Processing, Sensor Fusion, and Target Recognition III
Title Signal Processing, Sensor Fusion, and Target Recognition III PDF eBook
Author Ivan Kadar
Publisher Society of Photo Optical
Pages 394
Release 1994
Genre Computers
ISBN 9780819415363

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Signal Processing, Sensor Fusion, and Target Recognition

Signal Processing, Sensor Fusion, and Target Recognition
Title Signal Processing, Sensor Fusion, and Target Recognition PDF eBook
Author
Publisher
Pages 516
Release 1999
Genre Automatic tracking
ISBN

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Sensor and Data Fusion

Sensor and Data Fusion
Title Sensor and Data Fusion PDF eBook
Author Lawrence A. Klein
Publisher SPIE Press
Pages 346
Release 2004
Genre Technology & Engineering
ISBN 9780819454355

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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 data fusion algorithms in detail, Klein includes a summary of the information required to implement each of the algorithms discussed, and outlines system application scenarios that may limit sensor size but that require high resolution data.

Handbook of Multisensor Data Fusion

Handbook of Multisensor Data Fusion
Title Handbook of Multisensor Data Fusion PDF eBook
Author Martin Liggins II
Publisher CRC Press
Pages 872
Release 2017-01-06
Genre Technology & Engineering
ISBN 1420053094

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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 Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Multisensor Data Fusion

Multisensor Data Fusion
Title Multisensor Data Fusion PDF eBook
Author David Hall
Publisher CRC Press
Pages 586
Release 2001-06-20
Genre Technology & Engineering
ISBN 9781420038545

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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 evolut