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    Uncertainty in Hyperspectral Remote Sensing: Analysis of the Potential and Limitation of Shallow Water Bathymetry and Benthic Classification

    238151_Garcia 2015.pdf (12.28Mb)
    Access Status
    Open access
    Authors
    Garcia, Rodrigo Alejandro
    Date
    2015
    Supervisor
    Dr Peter Fearns
    Dr John Hedley
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Physics and Astronomy, Remote Sensing and Satellite Research Group
    URI
    http://hdl.handle.net/20.500.11937/1458
    Collection
    • Curtin Theses
    Abstract

    Propagating the inherent uncertainty in hyperspectral remote sensing is key in understanding the limitation and potential of derived bathymetry and benthic classification. Using an improved optimisation algorithm, the potential of detecting temporal bathymetric changes above uncertainty was quantified from a time series of hyperspectral imagery. A new processing approach was also developed that assessed the limitations and potential of benthic classification by analysing optical separability of substrates above total system uncertainty and attenuating water column.

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