• DocumentCode
    3690222
  • Title

    INSAR railway monitoring validation through high density leveling campaign

  • Author

    Qingli Luo;Guoqing Zhou;Daniele Perissin

  • Author_Institution
    Center of Remote Sensing, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1425
  • Lastpage
    1428
  • Abstract
    Much attention was paid on monitoring of the subsidence along large-scale man-made linear features (LMLFs). The high resolution SAR data offers impressive details on these infrastructures with multi-temporal INSAR analysis. This paper validates the INSAR results of time series analysis along a certain railway in China using a high density leveling campaign. The Leveling points are distributed along the railway line and each two leveling points are 60 m apart at a time interval of nearly one month. The study area is located in the west of Tianjin downtown, covering an area of 1.5 km · 7.46 km. The validation results show that the average subsidence rate and time series of PS results are agreed well with that of these leveling points.
  • Keywords
    "Rail transportation","Histograms","Monitoring","Time series analysis","Synthetic aperture radar","Data mining","Buildings"
  • 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.2015.7326045
  • Filename
    7326045