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    Data Fusion Mathematics

    Data Fusion Mathematics

    - Theory and Practice

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    • Bog, paperback
    • Engelsk

    Beskrivelse

    Fills the Existing Gap of Mathematics for Data Fusion

    Data fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in various applications that include the monitoring of vehicles, aerospace systems, large-scale structures, and large industrial automation plants. Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion, and provides a proper and adequate understanding of the basic mathematics directly related to DF. The material covered can be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion mathematics can evolve from various disparate mathematical concepts, and highlights mathematics that can add credibility to the data fusion process.

    Focuses on Mathematical Tools That Use Data Fusion

    This text explores the use of statistical/probabilistic signal/image processing, filtering, component analysis, image algebra, decision making, and neuro-FL–GA paradigms in studying, developing and validating data fusion processes (DFP). It covers major mathematical expressions, and formulae and equations as well as, where feasible, their derivations. It also discusses SDF concepts, DF models and architectures, aspects and methods of type 1 and 2 fuzzy logics, and related practical applications. In addition, the author covers soft computing paradigms that are finding increasing applications in multisensory DF approaches and applications.

    This book:



    Explores the use of interval type 2 fuzzy logic and ANFIS in DFCovers the mathematical treatment of many types of filtering algorithms, target-tracking methods, and kinematic DF methodsPresents single and multi-sensor tracking and fusion mathematicsConsiders specific DF architectures in the context of decentralized systemsDiscusses information filtering, Bayesian approaches, several DF rules, image algebra and image fusion, decision fusion, and wireless sensor network (WSN) multimodality fusion Data Fusion Mathematics: Theory and Practice incorporates concepts, processes, methods, and approaches in data fusion that can help you with integrating DF mathematics and achieving higher levels of fusion activity, and clarity of performance. This text is geared toward researchers, scientists, teachers and practicing engineers interested and working in the multisensor data fusion area.

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    Detaljer
    • SprogEngelsk
    • Sidetal504
    • Udgivelsesdato26-07-2017
    • ISBN139781138748637
    • Forlag Crc Press
    • FormatPaperback
    Størrelse og vægt
  • Vægt839 g
    • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

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    Arg Genetic algorithms Networks Rules Machine learning Process Decision Theory Probability & Statistics Decisión Image segmentation Component Analysis Image fusion Kalman Filter Possibility theory Multimodal data fusion Max Probability and statistics Sensor Wireless sensor network Adaptive Neuro Fuzzy Inference System Decision fusion ICA Wireless Sensor nodes Systems Utility functions Recurrent Neural networks Data set Target Tracking Node Data Aggregation Image Feature Extraction Artificial neural networks Information filtering Wavelets PCA WSN Discrete Cosine Transform Histograms WT Df Dempster-Shafer Air Lane ANFIS System Bayesian DT Automatic Data Fusion Blue Image Bayesian Formula Decentralized Data Fusion Systems Decentralized Multi-Target Tracking Decision Fusion in WSN Biometric Traits Data Fusion Software Tools Decentralised Estimation and Fusion Decentralised Multi-Target Tracking DFP Model DF Process DeF Strategies Decentralised Data Fusion Systems EOT Images Data Fusion Process Decentralized Estimation and Fusion Feature Level Fusion Fused Image Fuzzy Inference Calculations Conventional KF Grey Image Fusion Performance Evaluation Metrics Fuzzy Implication Data Association in MS Systems Green image Hybrid Data Data Fusion Architectures Gaussian MF-MATLAB Code DeF Using FL for Aviation Scenarios DF System DF Model HI Filtering-Based DF ICA Bases Image-Centroid Tracking Inverse Image Image Transformation Eo Image Kinematic Data Fusion Loss Functions Millman's Formulae Millman's Formula FL-ANFIS Fuzzy Intelligent Sensor Fusion Fuzzy-Evolutive Integral Approach Multimodal Biometric Systems Neural-Fuzzy-Genetic Algorithm Fusion Fusion Rule Fuzzy Logic Type I Image Algebra Radial Basis Function Neural Network Input Images Sensor Data Fusion Configurations Red Image Sensor Data Fusion Architectures Level Fusion Sensor DF in Literature SA with FL and DeF for Aviation Scenarios T2FL Membership Function SRIF Long-Wave IR Theory-Based Fusion MP MP MR Singular Value Decomposition Multi-sensory DF Sensor DF SC Paradigm Triangular MF-MATLAB Code

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