• DocumentCode
    3690127
  • Title

    Automatic coastline detection in non-locally filtered tandem-X data

  • Author

    Michael Schmitt;Lingyun Wei;Xiao Xiang Zhu

  • Author_Institution
    Helmholtz Young Investigators Group SiPEO, Technische Universitaet Muenchen (TUM), Arcisstr. 21, 80333 Munich, Germany
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1036
  • Lastpage
    1039
  • Abstract
    The detection of coastlines in SAR imagery has been studied for more than two decades now. Whereas the first works were based on the exploitation of amplitude imagery and the corresponding need to deal with speckle noise [1, 2, 3], with the ERS-1/2 tandem configuration also coherence maps started to be used as input. Based on the insights gained on these experiments, later the authors began to exploit both amplitude and coherence imagery simultaneously, finally giving way to the first approach using the original complex SAR data for statistically motivated coastline extraction.
  • Keywords
    "Synthetic aperture radar","Active contours","Lakes","Coherence","Data mining","Algorithm design and analysis","Adaptive optics"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7325946
  • Filename
    7325946