• DocumentCode
    2059972
  • Title

    The use of multitemporal ERS-1 SLC data for landuse classification

  • Author

    Kellndorfer, J. ; Schadt, R. ; Mauser, W.

  • Author_Institution
    Inst. of Geogr., Munchen Univ., Germany
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    1608
  • Abstract
    During the commissioning phase of ERS-1 28 single-look-complex (SLC) scenes were taken of the Freiburg testsite (app. 50 km2) in the time period between Aug. 17th and Nov. 30th 1991. The scenes were converted to greyvalue images, speckle reduced using a Lee-filter and geometrically matched. A maximum-likelihood-classification of the testsite was carried out. The landuse classes were compared with a digital landuse map resulting from the 1991 ground data collection. As can be expected speckle still influences the classification results. To overcome this problem the classification results has been fit to the digital field boundary map. This enabled a fieldwise post-classification using the majority rule, which considerably improved the result of the multitemporal landuse classification
  • Keywords
    geophysical techniques; geophysics computing; image recognition; maximum likelihood estimation; remote sensing; remote sensing by radar; synthetic aperture radar; Lee-filter; SAR; fieldwise post-classification; geometrically matched; geophysical measurement technique; greyvalue image; land surface imaging; landuse classification; majority rule; maximum-likelihood-classification; multitemporal ERS-1 SLC; pattern recognition; radar remote sensing; single-look-complex; speckle; Geography; Image converters; Information filtering; Information filters; Layout; Management information systems; Radiometry; Remote sensing; Speckle; Testing;
  • 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.1993.322447
  • Filename
    322447