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TitleSatellite data fusion techniques for terrain and surficial geological mapping
 
AuthorPavlic, G; Singhroy, V; Duk-Rodkin, A; Alasset, P -J
SourceIEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) 2008 p. III314-III317, https://doi.org/10.1109/IGARSS.2008.4779346
Image
Year2008
Alt SeriesEarth Sciences Sector, Contribution Series 20100283
PublisherIEEE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; surficial geology/geomorphology; remote sensing; satellite geodesy; satellite imagery; glacial deposits; glacial features; glacial landforms; RADARSAT; Landsat; ETM
IllustrationsLandsat images; graphs; flow charts
Released2008 01 01
AbstractIncreased satellite image data availability, with different spatial, spectral, and radiometric resolutions, present some challenges for image fusion techniques to be used in many application areas. In this study, we demonstrate an improved technique combining RADARSAT (SAR), Digital Elevation Model (DEM) and Landsat (ETM+) images with surficial geology data into two complementary composite image maps within Mackenzie Valley Pipeline Corridor, Canada. The method includes four processing steps. (1) The shaded relief derived from DEM was blended with SAR data to produce 3-D effect for terrain and geological structural interpretation. (2) Image fusion using a pan-sharpened IHS technique produced a higher resolution multi-spectral (MS) image. (3) The higher resolution MS image is blended with the SAR-DEM to produce an image terrain map. (4) Two complementary composites were then produced. The first image map contains of geomorphic features/surficial geology GIS layers, and 3D terrain information derived from the SAR-DEM image. The second image map is a composite of geomorphic features/surficial geology blended with the SAR-DEM-ETM+ image map. Integrated image maps generated in steps 1 and 3 provide standardized image base maps to display surficial geological and terrain information.
GEOSCAN ID287202

 
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