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Название: Sensor and Data Fusion - A Tool for Information Assessment and Decision Making
Автор: Klein L.
Аннотация:
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, the author 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.