• DocumentCode
    2204550
  • Title

    A method of acquiring tie points based on closed regions in SAR images

  • Author

    Xiong, Boli ; He, Zhiguo ; Hu, Canbin ; Chen, Qi ; Jiang, Yongmei ; Kuang, Gangyao

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2121
  • Lastpage
    2124
  • Abstract
    This paper presents a method in finding tie points automatically in synthetic aperture radar (SAR) image pairs based on the extracted closed regions. There are mainly three steps during this process. The first step is to extract the closed regions in the SAR image with an image segmentation approach deducted by the geodesic active contour (GAC) model. Then, a polygonal approximation process is adopted to locate the feature points on the boundaries of these regions. With the obtained feature points, geometric hashing theory is employed to match these feature points as the tie points. A pair of simulated SAR images and a pair of high-resolution airborne SAR images are used to test and evaluate the proposed method. The experimental results show that the proposed method is effective and appropriate for the acquisitions of tie points in SAR image pairs.
  • Keywords
    airborne radar; data acquisition; feature extraction; geophysical image processing; geophysical techniques; image resolution; radar imaging; remote sensing by radar; synthetic aperture radar; closed regions; feature points; geodesic active contour model; geometric hashing theory; high-resolution airborne SAR images; image segmentation approach; polygonal approximation process; synthetic aperture radar image; tie point acquisitions; tie point method; Active contours; Approximation methods; Feature extraction; Image edge detection; Image registration; Level set; Synthetic aperture radar; Closed region extraction; GAC model; Geometric hashing; Image registration; Polygonal approximation; SAR;
  • 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.2012.6351086
  • Filename
    6351086