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Sensor and Data Fusion
Lawrence A. Klein
其他書名
A Tool for Information Assessment and Decision Making
出版SPIE Press, 2004
主題Technology & Engineering / Technical & Manufacturing Industries & TradesTechnology & Engineering / Signals & Signal Processing
ISBN08194543549780819454355
URLhttp://books.google.com.hk/books?id=-782bo4u_ogC&hl=&source=gbs_api
EBookSAMPLE
註釋Annotation This book describes the benefits of sensor fusion as illustrated by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance, sensor system application scenarios that may limit sensor size but still require high resolution data, and the attributes of data fusion architectures and algorithms. The data fusion algorithms discussed in detail include classical inference, Bayesian inference, Dempster-Shafer evidential theory, artificial neural networks, voting logic as derived from Boolean algebra expressions, fuzzy logic, and detection and tracking of objects using only passively acquired data. A summary is presented of the information required to implement each of the data fusion algorithms discussed. Weather forecasting, Earth resource surveys that use remote sensing, vehicular traffic management, target classification and tracking, military and homeland defense, and battlefield assessment are some of the applications that will benefit from the discussions of signature-generation phenomena, sensor fusion architectures, and data fusion algorithms provided in this text.