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    Feature Extraction from Multi-modal Mobile Mapping Data

    Borck M 2017.pdf (48.02Mb)
    Access Status
    Open access
    Authors
    Borck, Michael Geoffery
    Date
    2016
    Supervisor
    Prof. Geoff West
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Spatial Science
    URI
    http://hdl.handle.net/20.500.11937/57505
    Collection
    • Curtin Theses
    Abstract

    This thesis investigates many different feature extraction methods and machine learning algorithms for their usefulness in detecting objects from vehicle-based mobile mapping systems datasets. A comprehensive analysis using performances measures and graphical techniques are applied to identify the best combination of features and classifiers. A system was built enable users who are not programmers to manage image data and to customise their analyses by combining common data analysis tools to fit their needs.

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