Multi-Sensor Data Fusion with MATLAB (Hardcover)

Jitendra R. Raol

Multi-Sensor Data Fusion with MATLAB (Hardcover)
  • 出版商: CRC
  • 出版日期: 2009-12-16
  • 售價: $9,380
  • 貴賓價: 9.5 折 $8,911
  • 語言: 英文
  • 頁數: 568
  • 裝訂: Hardcover
  • ISBN: 1439800030
  • ISBN-13: 9781439800034
  • 相關分類: Matlab、感測器 Sensor

    • 海外代購書籍(需單獨結帳)

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商品描述

Using MATLAB® 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 www.crcpress.com

商品描述(中文翻譯)

在可能的情況下，使用MATLAB®示例，《使用MATLAB的多傳感器數據融合》探討了多傳感器數據融合（MSDF）的三個層次：運動學層次融合，包括DF理論；模糊邏輯和決策融合；以及像素和特徵層次的圖像融合。作者闡明了主要用於航空航天應用的DF策略、算法和性能評估，儘管這些方法也可以應用於其他領域的系統，如生物醫學、軍事防禦和環境工程。

在介紹了幾種有用的DF和跟踪性能策略和算法之後，本書評估了DF算法、軟件和系統。接下來，它涵蓋了模糊邏輯、模糊集合及其性質、模糊邏輯運算符、模糊命題/基於規則的系統、推理引擎和去模糊化方法。它開發了一個新的MATLAB圖形用戶界面，用於評估模糊蘊含函數，然後使用模糊邏輯來通過處理傳感器數據估計動態系統的未知狀態。然後，本書使用主成分分析、空間頻率和小波基於圖像融合算法來融合來自傳感器的圖像數據。它還介紹了從成像傳感器和地基雷達獲得的軌跡結合的程序。最後幾章討論了如何將DF應用於移動智能自主系統和智能監測系統。

融合傳感器數據可以帶來系統性能的眾多好處。通過實際案例和算法結果的評估，這本詳細的書籍從實用的角度提供了對MSDF概念和方法的理解。

可在www.crcpress.com上下載選定的MATLAB程序。

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