Multi-Sensor Data Fusion With MATLAB
商品資訊
ISBN13:9781439800034
出版社:CRC Press UK
作者:Jitendra R. Raol
出版日:2009/12/16
裝訂/頁數:精裝/568頁
規格:23.5cm*15.9cm*2.5cm (高/寬/厚)
定價
:NT$ 12350 元優惠價
:90 折 11115 元
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
商品簡介
作者簡介
目次
相關商品
商品簡介
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
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
作者簡介
Jitendra R. Raol is Professor Emeritus at M S Ramaiah Institute of Technology (MSRIT) in Bangalore, India.
目次
Theory of Data Fusion and Kinematic-Level Fusion, J.R. Raol, G. Girija, and N. Shanthakumar
Introduction
Concepts and Theory of Data Fusion
Strategies and Algorithms for Target Tracking and Data Fusion
Performance Evaluation of Data Fusion Systems, Software, and Tracking
Fuzzy Logic and Decision Fusion, J.R. Raol and S.K. Kashyap
Introduction
Theory of Fuzzy Logic
Decision Fusion
Performance Evaluation of Fuzzy Logic-Based Decision Systems
Pixel and Feature-Level Image Fusion, J.R. Raol and V.P.S. Naidu
Introduction
Pixel- and Feature-Level Image Fusion Concepts and Algorithms
Performance Evaluation of Image-Based Data Fusion Systems
A Brief on Data Fusion in Other Systems, Ajith Gopal and Simukai Utete
Introduction: Overview of Data Fusion in Mobile Intelligent Autonomous Systems
Intelligent Monitoring and Fusion
Appendix
Index
Introduction
Concepts and Theory of Data Fusion
Strategies and Algorithms for Target Tracking and Data Fusion
Performance Evaluation of Data Fusion Systems, Software, and Tracking
Fuzzy Logic and Decision Fusion, J.R. Raol and S.K. Kashyap
Introduction
Theory of Fuzzy Logic
Decision Fusion
Performance Evaluation of Fuzzy Logic-Based Decision Systems
Pixel and Feature-Level Image Fusion, J.R. Raol and V.P.S. Naidu
Introduction
Pixel- and Feature-Level Image Fusion Concepts and Algorithms
Performance Evaluation of Image-Based Data Fusion Systems
A Brief on Data Fusion in Other Systems, Ajith Gopal and Simukai Utete
Introduction: Overview of Data Fusion in Mobile Intelligent Autonomous Systems
Intelligent Monitoring and Fusion
Appendix
Index
主題書展
更多
主題書展
更多書展今日66折
您曾經瀏覽過的商品
購物須知
外文書商品之書封,為出版社提供之樣本。實際出貨商品,以出版社所提供之現有版本為主。部份書籍,因出版社供應狀況特殊,匯率將依實際狀況做調整。
無庫存之商品,在您完成訂單程序之後,將以空運的方式為你下單調貨。為了縮短等待的時間,建議您將外文書與其他商品分開下單,以獲得最快的取貨速度,平均調貨時間為1~2個月。
為了保護您的權益,「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨,請在商品鑑賞期內寄回,且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。