• DocumentCode
    297761
  • Title

    Elevation correction and building extraction from interferometric SAR imagery

  • Author

    Burkhart, G.R. ; Bergen, Z. ; Carande, R. ; Hensley, W. ; Bickel, D. ; Fellerhoff, J.R.

  • Author_Institution
    Vexcel Corp., Boulder, CO, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    659
  • Abstract
    The development of high (2m) resolution interferometric SAR (IFSAR) instrumentation makes extraction of man made and natural urban structures feasible. In particular, the authors consider building extraction from imagery of an urban/industrial area. IFSAR imagery are particularly well suited for this task because these data include the measured elevation as well as the coherence and intensity of the back scattered radiation. Gradients in the IFSAR elevation correspond directly to elevation edges. Coherence and intensity data can be combined to give specific information about the scattering properties of the viewed surface. The disadvantage of IFSAR imagery is that these data are typically of lower resolution and contain greater noise than other data such as optical photography, also the data contain specific artifacts that must be removed. Indeed, the motivation for building and tree extraction behind this work is the need to remove noise and artifacts from the IFSAR data. Techniques for removing artifacts that are peculiar to IFSAR data are particularly discussed
  • Keywords
    feature extraction; geophysical signal processing; geophysical techniques; image enhancement; radar imaging; radar target recognition; remote sensing by radar; synthetic aperture radar; IFSAR; artifact removal; building; city; elevation correction; feature extraction; forest; geophysical measurement technique; high resolution; image enhancement; industrial area; interferometric SAR imagery; land surface; man made structure; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; town; tree; urban area; vegetation mapping; Buildings; Data mining; Image resolution; Instruments; Optical interferometry; Optical noise; Optical scattering; Particle measurements; Photography; Synthetic aperture radar interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516434
  • Filename
    516434