Multi-Sensor Data Fusion with MATLAB (Hardcover)
暫譯: 使用 MATLAB 的多傳感器數據融合 (精裝版)

Jitendra R. Raol

  • 出版商: CRC
  • 出版日期: 2009-12-16
  • 售價: $8,100
  • 貴賓價: 9.5$7,695
  • 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)

使用 MATLAB® 範例,使用 MATLAB 進行多感測器數據融合 探討了多感測器數據融合 (MSDF) 的三個層級:運動學層級融合,包括數據融合 (DF) 理論;模糊邏輯與決策融合;以及像素和特徵層級的影像融合。作者闡明了 DF 策略、演算法和性能評估,主要針對航空航天應用,儘管這些方法也可以應用於其他領域的系統,例如生物醫學、軍事防禦和環境工程。

在介紹幾個有用的 DF 策略和追蹤性能演算法後,本書評估了 DF 演算法、軟體和系統。接著涵蓋了模糊邏輯、模糊集合及其特性、模糊邏輯運算子、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,用於評估模糊蕴涵函數,然後利用模糊邏輯通過處理感測器數據來估計動態系統的未知狀態。本書接著使用主成分分析、空間頻率和基於小波的影像融合演算法來融合來自感測器的影像數據。它還介紹了從成像感測器和地面雷達獲得的軌跡合併程序。最後幾章討論了 DF 如何應用於移動智能自主系統和智能監控系統。

融合感測器數據可以為系統性能帶來許多好處。通過實際案例和演算法結果的評估,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。

選定的 MATLAB 程式可在 www.crcpress.com 下載

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