• DocumentCode
    2204339
  • Title

    Graph based SAR images change detection

  • Author

    Gou, Shuiping ; Yu, Tiantian

  • Author_Institution
    Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2152
  • Lastpage
    2155
  • Abstract
    A change detection method for SAR images based on graph is proposed in this paper. In order to avoid the information loss of constructing difference image, we operated directly on the original and changed images. Two adjacent graphs based on the original and changed images are constructed, and two adjacent graphs are connected together to obtain the difference graph. And then we cut the difference graph with spectral clustering. As a result, the global information and local structure information of each pixel from original and changed images are used by constructing three adjacent graphs graph. Compared with traditional difference image based change detection method, the proposed method has lower overall alarms. In addition, the patches are produced by using graph cut and computation cost is reduced greatly for our algorithm.
  • Keywords
    graph theory; object detection; pattern clustering; radar imaging; synthetic aperture radar; changed images; computation cost; difference graph; difference image based change detection method; global information; graph based SAR image change detection method; graph cut; local structure information; original images; spectral clustering; synthetic aperture radar; Decision support systems; change detection; graph construction; graph cut; spectral clustering;
  • 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.2012.6351077
  • Filename
    6351077