• DocumentCode
    575908
  • Title

    Study and assessment of selected primitive features behaviour for SAR image description

  • Author

    Dumitru, Corneliu Octavian ; Datcu, Mihai

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3596
  • Lastpage
    3599
  • Abstract
    The main purpose of this study is to define for Synthetic Aperture Radar (SAR) data the primitive feature parameters, the incidence angle, and the orbit direction which can be used further for indexing and querying in the EO systems. The evaluation is done on the high resolution SAR data and the interpretation is realized automatically. In this paper, we propose to study and asses the behavior of the primitive feature extracted methods for images of the same scene with two look angles covering the min-max range of the sensor and with ascending / descending orbit looking. The tests are done on TerraSAR-X products Stripmap and high resolution Spotlight, specially and radiometrically enhanced covering the area of Berlin (Germany) and Ottawa (Canada). To identify the optimal primitive features, incident angle, and orbit direction the Support Vector Machine and as a measure of the classification accuracy the precision/recall were considered.
  • Keywords
    feature extraction; geophysical image processing; radar computing; radar imaging; support vector machines; synthetic aperture radar; Berlin; EO systems; Ottawa; SAR image description; Synthetic Aperture Radar data; TerraSAR-X products Stripmap; feature extraction; high resolution Spotlight; incidence angle; indexing; orbit direction; primitive feature parameters; querying; selected primitive feature behaviour; support vector machine; Buildings; Image resolution; Indexing; Measurement; Orbits; Satellites; Synthetic aperture radar; Sentinel-1; TerraSAR-X; incidence angle; orbit direction; primitive features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350639
  • Filename
    6350639