• DocumentCode
    2051701
  • Title

    Use of Landsat TM image segmentation for smoothing ERS-1 SAR imagery in combined multi-sensor landscape classification

  • Author

    Schoenmakers, R.P.H.M. ; Wilkinson, G.G. ; Schouten, Th.E.

  • Author_Institution
    Joint Res. Centre, Comm. of the Eur. Communities, Ispra, Italy
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    1228
  • Abstract
    The combination of Landsat TM and ERS-1 SAR data can potentially lead to improved land cover mapping. Initially however SAR data must undergo speckle noise filtering. In southern Europe where land cover units are very small conventional filtering techniques can remove valuable information. The paper describes the potential use of segmentation of Landsat TM data to describe boundaries which can serve as a basis for SAR speckle noise filtering prior to incorporation in integrated multi-sensor classification
  • Keywords
    filtering and prediction theory; image processing; image segmentation; remote sensing; remote sensing by radar; speckle; synthetic aperture radar; ERS-1 SAR imagery; Landsat TM image segmentation; boundaries; combined multisensor landscape classification; land cover mapping; smoothing; southern Europe; speckle noise filtering; Adaptive optics; Filtering; Image edge detection; Image segmentation; Optical filters; Optical noise; Remote sensing; Satellites; Smoothing methods; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-1240-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1993.322113
  • Filename
    322113