• DocumentCode
    1922362
  • Title

    Close range hyperspectral and lidar data integration for geological outcrop analysis

  • Author

    Kurz, T.H. ; Buckley, S.J. ; Howell, J.A. ; Schneider, D.

  • Author_Institution
    Centre for Integrated Pet. Res., Univ. of Bergen, Bergen, Norway
  • fYear
    2009
  • fDate
    26-28 Aug. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The use of spatial data collection techniques in geology has increased significantly in recent years, with methods such as laser scanning (lidar) becoming popular. However, the remote mapping of rock properties within the geological outcrops remains a major challenge. This study develops a workflow for combining and utilising ground based hyperspectral and laser scanning data. This workflow is presented for two case studies, each with different geological settings and mineral composition. Multiple hyperspectral and lidar scans were acquired to gain both spectral and geometric data. Mixture Tuned Matched Filtering was utilised to extract and map geological features from the spectral images, resulting in thematic images. This combination of geometrically accurate lidar data and spectral mapping of lithology has significant implications for the improved collection of geological data.
  • Keywords
    geology; geophysical signal processing; optical radar; remote sensing by laser beam; LIDAR data; close range hyperspectral integration; geological data; geological outcrop analysis; laser scanning; remote mapping; spatial data collection techniques; spectral images; Data mining; Geologic measurements; Geology; Geoscience; Hyperspectral imaging; Hyperspectral sensors; Instruments; Laser radar; Minerals; Petroleum; Classification; Close Range; Geology; Hyperspectral; Lidar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-1-4244-4686-5
  • Electronic_ISBN
    978-1-4244-4687-2
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2009.5288998
  • Filename
    5288998