Sensor and Data Fusion 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Lawrence A. Klein 作者

SPIE--The International Society for Optical Engineering

译者

2004-07 出版日期

0 页数

USD 75.00 价格

Hardcover

丛书系列

9780819454355 图书编码

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发表于2024-09-17

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Sensor and Data Fusion 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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.

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