• DocumentCode
    340449
  • Title

    Assessment of speckle reduction filters for automatic detection of small/thin features [in SAR images]

  • Author

    Sakurai-Amano, Takako ; Iisaka, Joji

  • Author_Institution
    Earth Observation Res. Center, NASDA, Tokyo, Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1315
  • Abstract
    Evaluates the effectiveness of several speckle reduction filters in extracting small/thin features in SAR images. The filters were tested on various types of bright and dark features in observed images instead of simulated images. The filters were required to preserve contrast between the feature and its immediate background, as well as reduce speckle in the image. Based on the results of the tests, the authors found that the Small Feature Preserving (SFP) filter was best for extracting bright features, and that the Sigma filter was best for extracting dark features
  • Keywords
    feature extraction; filters; radar imaging; speckle; synthetic aperture radar; SAR images; SFP filter; Sigma filter; Small Feature Preserving filter; automatic detection; background contrast; bright features; dark features; observed images; small features extraction; speckle reduction filters; thin features extraction; Computer vision; Earth; Feature extraction; Filters; Lubricating oils; Petroleum; Rivers; Roads; Speckle; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.774616
  • Filename
    774616