• DocumentCode
    3364219
  • Title

    Radargrammetric improvements: A multi-window approach

  • Author

    Fayard, Franck ; Méric, Stéphane ; Pottier, Éric

  • Author_Institution
    Inst. of Electron. & Telecommun. of Rennes (IETR), Eur. Univ. of Brittany, Rennes, France
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3604
  • Lastpage
    3607
  • Abstract
    This paper deals with the relevance of using stereoscopic radar images in order to retrieve the relief of terrain. Firstly, the basic characteristics of the radargrammetry are described. Thus, we present the results of the radargrammetric processing using the ZNCC procedure and applied to radar images. These images are recorded by the SIR-C mission over the French Alps. The results show that the image matching can fail, especially in foreshortened areas. So, we expose two different improvement methods using several correlation windows in order to cancel the reconstruction errors. The first improvement take advantage of a multi-window approach to combine information multiplying the correlation surfaces obtained for each correlation window size. The second improvement is based on another multi-window approach that makes it possible to get correlation windows adapted to the foreshortened areas. Finally, we combine these two improvement methods to show that it´s possible to make the disparity map more reliable for the first step of the pyramidal scheme.
  • Keywords
    image matching; image reconstruction; radar imaging; stereo image processing; French Alps; SIR-C mission; ZNCC procedure; correlation surfaces; correlation window size; disparity map; image matching; multiwindow approach; radargrammetry; reconstruction errors; stereoscopic radar images; Computational efficiency; Correlation; Image reconstruction; Indexes; Pixel; Radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5653408
  • Filename
    5653408