Data fusion mathematics : theory and practice /: theory and practice. (2015)

• Record Type: Book
• Further Information: Note: Jitendra R. Raol.
• Authors: Raol, J. R (Jitendra R.), 1947-
• Contents: Introduction to Data Fusion Process; Data Fusion Aspects; Data Fusion Models; Sensor Data Fusion Configurations; Sensor Data Fusion Architectures; Data Fusion Process; References; Statistics, Probability Models and Reliability: Towards Probabilistic Data Fusion ; Introduction; Statistics; Probability Models; Probabilistic Methods for DF; Reliability in DF; Information Methods; Probability Concepts for Expert System and DF; Probabilistic Methods for DF: Theoretical Examples; Bayesian Formula and Sensor/DF: Illustrative Example; References; Fuzzy Logic and Possibility Theory-Based Fusion ; Introduction; Fuzzy Logic Type I; Adaptive Neuro-fuzzy Inference System; Fuzzy Logic Type; Fuzzy Intelligent Sensor Fusion; FL-based Procedure for Generating the Weights for a DF Rule; FL-ANFIS for Parameter Estimation and Generation of DF Weights: Illustrative Examples; Possibility Theory; Fusion of Long-Wave IR and EOT Images Using Type 1 and Type 2 Fuzzy Logics: Illustrative Examples; DF Using Dempster-Shafer and Possibility Theory: Illustrative Example; A: Type 1 - Triangular MF-MATLAB Code; B: Type 2 - Gaussian MF-MATLAB Code; Fuzzy Inference Calculations - MATLAB Code; References; Filtering, Target Tracking and Kinematic Data Fusion ; Introduction; The Kalman Filter; The Multi-Sensor Data Fusion and Kalman Filter; Non-linear Data Fusion Methods; Data Association in MS Systems; Information Filtering; HI Filtering-Based DF; Optimal Filtering for Data Fusion with Missing Measurements; Factorisation Filtering and Sensor DF: Illustrative Example; References; Decentralised Data Fusion Systems ; Introduction; Data Fusion Architectures; Decentralised Estimation and Fusion; Decentralised Multi-Target Tracking; Millman's Formulae in Sensor Data Fusion; SRIF for Data Fusion in Decentralised Network with Four Sensor Nodes: Illustrative Example; References; Component Analysis and Data Fusion ; Introduction; Independent Component Analysis; An Approach to Image Fusion Using ICA Bases; Principal Component Analysis; Discrete-Cosine Transform; WT: A Brief Theory; An Approach to Image Fusion Using ICA and Wavelets; Non-Linear ICA and PCA; Image Fusion Using MR Singular Value Decomposition; References; Image Algebra and Image Fusion ; S. Sethu Selvi ; Introduction; Image Algebra; Pixels and Features of an Image; Inverse Image; Red, Green and Blue, Grey Images and Histograms; Image Segmentation; Noise Processes in an Observed/Acquired Image; Image Feature Extraction Methods; Image Transformation and Filtering Approaches; Image Fusion Mathematics; Image Fusion Algorithms; Performance Evaluation; Multimodal Biometric Systems and Fusion: Illustrative Examples; References; Decision Theory and Fusion ; Introduction; Loss and Utility Functions; Bayesian DT; Decision Making with Multiple Information Sources; Fuzzy Modelling Approach for Decision Analysis/Fusion; Fuzzy-Evolutive Integral Approach; Decision Making Based on Voting; DeF Using FL for Aviation Scenarios; DeF Strategies; SA with FL and DeF for Aviation Scenarios: Illustrative Examples; References; Wireless Sensor Networks and Multimodal Data Fusion ; Introduction; Communication Networks and Their Topologies in WSNs; Sensor/Wireless Sensor Networks; Wireless Sensor Networks and Architectures; Sensor Data Fusion in WSN; Multimodality Sensor Fusion; Decision Fusion Rules in WSN; Data Aggregation in WSN; Hybrid Data and Decision Fusion in WSN; Optimal Decision Fusion in WSN; References; Soft Computing Approaches to Data Fusion ; Introduction; Artificial Neural Networks; Radial Basis Function Neural Network; Recurrent Neural Networks; FL and Systems as SC Paradigm; FL in Kalman Filter for Image-Centroid Tracking: A Type of Fusion; Genetic Algorithms; SDF Approaches Using SC Methods: Illustrative Examples; Machine Learning; Neural-Fuzzy-Genetic Algorithm Fusion; Image Analysis Using ANFIS: Illustrative Example; Acknowledgement; References; A: Some Algorithms and/or Their Derivations ; B: Other Methods of DF and Fusion Performance Evaluation Metrics ; C:Automatic Data Fusion ; D: Notes and Information on Data Fusion Software Tools ; E: Definitions of Sensor DF in Literature ; F: Some Current Research Topics in DF
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2015
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 621.3822; Multisensor data fusion -- Mathematics; Signal processing -- Mathematics; Statistical matching; Wireless sensor nodes
• Languages: English
• ISBNs: 9781498721028
• Related ISBNs: 9781498720977
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.