Language: English
Published by CRC Press 2010-01-04, 2010
ISBN 10: 1439800030 ISBN 13: 9781439800034
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Language: English
Published by Taylor & Francis Group, 2009
ISBN 10: 1439800030 ISBN 13: 9781439800034
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Condition: New. pp. xxxiii + 534 Index.
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Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1439800030 ISBN 13: 9781439800034
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Hardcover. Condition: new. Hardcover. Using MATLAB(R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. After presenting several useful strategies and algorithms for DF and tracking performance, the book evaluates DF algorithms, software, and systems. It next covers fuzzy logic, fuzzy sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It develops a new MATLAB graphical user interface for evaluating fuzzy implication functions, before using fuzzy logic to estimate the unknown states of a dynamic system by processing sensor data. The book then employs principal component analysis, spatial frequency, and wavelet-based image fusion algorithms for the fusion of image data from sensors.It also presents procedures for combing tracks obtained from imaging sensor and ground-based radar. The final chapters discuss how DF is applied to mobile intelligent autonomous systems and intelligent monitoring systems. Fusing sensors' data can lead to numerous benefits in a system's performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view. Select MATLAB programs are available for download on Explores the theory and concepts of multi-sensor data fusion, including kinematic data fusion, fuzzy logic and decision fusion, and pixel/image-level fusion. This book elucidates aspects of data fusion strategies, algorithms, and performance evaluation, mainly for aerospace applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketHardcover. Condition: Brand New. 1st edition. 580 pages. 9.09x6.10x1.18 inches. In Stock.
Language: English
Published by Taylor & Francis Group, 2009
ISBN 10: 1439800030 ISBN 13: 9781439800034
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Language: English
Published by Taylor & Francis Group, 2009
ISBN 10: 1439800030 ISBN 13: 9781439800034
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Condition: New. PRINT ON DEMAND pp. xxxiii + 534.
Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1439800030 ISBN 13: 9781439800034
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Add to basketHardcover. Condition: new. Hardcover. Using MATLAB(R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. After presenting several useful strategies and algorithms for DF and tracking performance, the book evaluates DF algorithms, software, and systems. It next covers fuzzy logic, fuzzy sets and their properties, fuzzy logic operators, fuzzy propositions/rule-based systems, an inference engine, and defuzzification methods. It develops a new MATLAB graphical user interface for evaluating fuzzy implication functions, before using fuzzy logic to estimate the unknown states of a dynamic system by processing sensor data. The book then employs principal component analysis, spatial frequency, and wavelet-based image fusion algorithms for the fusion of image data from sensors.It also presents procedures for combing tracks obtained from imaging sensor and ground-based radar. The final chapters discuss how DF is applied to mobile intelligent autonomous systems and intelligent monitoring systems. Fusing sensors' data can lead to numerous benefits in a system's performance. Through real-world examples and the evaluation of algorithmic results, this detailed book provides an understanding of MSDF concepts and methods from a practical point of view. Select MATLAB programs are available for download on Explores the theory and concepts of multi-sensor data fusion, including kinematic data fusion, fuzzy logic and decision fusion, and pixel/image-level fusion. This book elucidates aspects of data fusion strategies, algorithms, and performance evaluation, mainly for aerospace applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Using MATLAB® examples wherever possible, this detailed book explores the three levels of MSDF: kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. The book uses the Kalman filter, fuzzy logic, Bayesian networks, clustering, and more to address tracking and other problems. Select MATLAB programs are available online.