• DocumentCode
    3024216
  • Title

    Reconstruction of building façades using spaceborne multiview TomoSAR point clouds

  • Author

    Shahzad, Muhammad ; Xiao Xiang Zhu

  • Author_Institution
    Dept. of Remote Sensing Technol. (LMF), Tech. Univ. Munich, Munich, Germany
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    624
  • Lastpage
    627
  • Abstract
    In this paper we present an approach that allows automatic reconstruction of building façades from 4D point cloud generated from tomographic SAR processing. The approach is modular and works by extracting façade points from the point density projected onto the ground plane. Individual façades are segmented using an unsupervised clustering procedure. Surface (flat or curved) model parameters of the segmented building façades are further estimated and finally the geometric primitives such as intersection points of the adjacent façades are determined to complete the reconstruction process. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated from TerraSAR-X high resolution spotlight images.
  • Keywords
    buildings (structures); feature extraction; geophysical image processing; image reconstruction; image segmentation; pattern clustering; radar imaging; radar resolution; spaceborne radar; synthetic aperture radar; 4D point cloud; TerraSAR-X high resolution spotlight image; automatic building facade reconstruction; curved surface; facade point extraction; facade segmentation; flat surface; geometric primitives; intersection points; point density; spaceborne multiview TomoSAR point clouds; surface model parameter; tomographic SAR processing; unsupervised clustering procedure; Buildings; Image reconstruction; Polynomials; Solid modeling; Surface reconstruction; Synthetic aperture radar; Three-dimensional displays; SAR tomography; TerraSAR-X; clustering; façade reconstruction; point cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721234
  • Filename
    6721234