• DocumentCode
    1237854
  • Title

    Analysis of multiple geological datasets from the English Lake District

  • Author

    Harding, Anthiny E. ; Forrest, Michael D.

  • Author_Institution
    Nat. Remote Sensing Centre, R. Aircraft Establ., Farnborough, UK
  • Volume
    27
  • Issue
    6
  • fYear
    1989
  • fDate
    11/1/1989 12:00:00 AM
  • Firstpage
    732
  • Lastpage
    739
  • Abstract
    A geological database comprising coregistered Landsat Thematic Mapper (TM) regional multielement stream sediment geochemistry, regional gravity and aeromagnetics, and geological map data has been established, in raster format, for the area of the English Lake District. To study spatial correlations within the database, TM imagery and its first-order structurally enhanced filter derivatives are combined with regional survey data using intensity-hue-saturation transforms and stereoscopic-view generation techniques. These are then overlaid with line and polygon information from other exploration datasets. Datasets are combined in a manner which maintains the identity of each dataset. The imagery produced demonstrates the power of image presentation for efficient multidata analysis.
  • Keywords
    computerised picture processing; filtering and prediction theory; geographic information systems; geology; geophysics computing; remote sensing; England; Lake District; Landsat Thematic Mapper; aeromagnetics; exploration; first-order structurally enhanced filter derivatives; geographic information system; geological map data; image presentation; intensity-hue-saturation transforms; multiple geological datasets; picture processing; polygon information; raster format; regional gravity; regional multielement stream sediment geochemistry; regional survey data; remote sensing; spatial correlations; stereoscopic-view generation techniques; Filters; Geology; Gravity; Image databases; Lakes; Remote sensing; Satellites; Sediments; Spatial databases; Streaming media;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.35961
  • Filename
    35961