• DocumentCode
    576138
  • Title

    Temporal PolSAR image series exploitation with binary partition trees

  • Author

    Alonso-González, Alberto ; López-Martínez, Carlos ; Salembier, Philippe

  • Author_Institution
    Signal Theor. & Commun. Dept. (TSC), Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1493
  • Lastpage
    1496
  • Abstract
    In this paper, the processing of temporal PolSAR image series is addressed through a region-based and multi-scale data representation, the Binary Partition Tree (BPT). This structure contains useful information related to the data structure at different detail levels that may be employed for different applications. The construction of this structure ans its exploitation is addressed in this work in the context of the speckle filtering and data segmentation applications. A new region model and processing strategy are defined to tackle with the temporal dimension of the data. Finally, to illustrate the capabilities of the proposed technique, results are shown with a real RADARSAT-2 dataset.
  • Keywords
    filtering theory; geophysical image processing; image representation; image segmentation; radar computing; radar imaging; radar polarimetry; speckle; synthetic aperture radar; tree data structures; BPT; RADARSAT-2 dataset; binary partition tree; data segmentation application; data structure; data temporal dimension; multiscale data representation; region-based data representation; speckle filtering; temporal PoLSAR image series exploitation; Context; Covariance matrix; Data models; Data structures; Image segmentation; Speckle; Synthetic aperture radar; Binary Partition Tree; Change detection; SAR Polarimetry; Segmentation; Temporal series;
  • 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.2012.6351252
  • Filename
    6351252