• DocumentCode
    3531499
  • Title

    Advances in hyperspectral processing for province- and continental- wide mineral mapping

  • Author

    Hewson, R.D. ; Cudahy, T.J. ; Caccetta, M. ; Rodger, A. ; Jones, Maxwell ; Ong, Chun-Lian

  • Author_Institution
    Div. of Exploration & Min., CSIRO, Brisbane, QLD, Australia
  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Comprehensive mapping of the mineral composition within North Queensland, Australia was recently undertaken using 25,000 km2 of airborne hyperspectral imagery. High spatial resolution, web-accessible, seamless, accurate maps of mineral abundances and physicochemistries, were delivered as part of a Queensland Geological Survey initiative. This required the development of pre-processing and mineral information extraction strategies that could be applied across a large number of individual flight lines within a diverse range of environments. This study demonstrated the successful use of spectral indices to target diagnostic reflectance absorption features associated with mineral abundances, composition and variations associated with crystalline or water bonding states. A multi-level series of masks, in a logical sequence, were applied to reduce possible ambiguities within image products. A new technique was also developed to compensate for variable vegetation cover, enabling the extraction of predominantly geological information (e.g. soil, outcrop, colluvium).
  • Keywords
    geophysical signal processing; minerals; mining; remote sensing; spectral analysis; Australia; Queensland Geological Survey initiative; airborne hyperspectral imagery; continent wide mineral mapping; crystalline states; diagnostic reflectance absorption features; geological information extraction; hyperspectral processing; mineral abundance maps; mineral composition; mineral information extraction; north Queensland; province wide mineral mapping; spectral indices; variable vegetation cover; water bonding states; Absorption; Australia; Bonding; Crystallization; Data mining; Geology; Hyperspectral imaging; Minerals; Reflectivity; Spatial resolution; Hyperspectral; mineral mapping; spectral indices; vegetation compensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417473
  • Filename
    5417473