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    Improving Hyperspectral Image Consistency for Vegetation Classification over the Port Hedland Coastal Region

    Bos S 2020.pdf (35.91Mb)
    Access Status
    Open access
    Authors
    Bos, Shawn Henson
    Date
    2020
    Supervisor
    Brendan McGann
    Peter Fearns
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Department of Imaging and Applied Physics
    School of Physical Sciences
    School of Electrical Engineering, Computing and Mathematical Sciences (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/82565
    Collection
    • Curtin Theses
    Abstract

    The brightness consistency of hyperspectral airborne data over the Port Hedland coastal region was improved through a newly developed mathematical-based technique termed normalisation. Classification of the normalised data resulted in improved spatially coherent vegetation structures, with particular emphasis on mangroves. In addition, spatial statistical analysis ensured the structures were well-defined to a suitable probability, which compared favourably to the results of an earlier commercial survey based on photointerpretation and field work.

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