IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v94y2018i3d10.1007_s11069-018-3454-1.html
   My bibliography  Save this article

Application of an improved DPCA algorithm in rock-fall monitoring based on synthetic aperture radar

Author

Listed:
  • Qian Zhang

    (Shijiazhuang Tiedao University)

  • Jing Wang

    (Shandong University)

  • Peng Lin

    (Shandong University)

  • Lili Hou

    (Shijiazhuang Tiedao University)

Abstract

Rockfalls influence the safety of the surrounding infrastructure and the normal operation of transportation lines. The application of synthetic aperture radar (SAR) technology is a new method of rock-fall monitoring and disaster prediction. This paper proposes a new method of dynamic monitoring and parameter estimation for rockfalls based on a multichannel airborne SAR system. First, the signal model of the multichannel airborne SAR system is derived. Then, to improve performance, the traditional displaced phase centre antenna (DPCA) method is extended to three or more receiver channels. This method can be effectively applied for rock-fall target detection, as well as to precisely estimate rock-fall target parameters and resolve the ambiguity issues associated with the estimation of rock-fall target parameters. Finally, simulation results are used to validate the proposed approach.

Suggested Citation

  • Qian Zhang & Jing Wang & Peng Lin & Lili Hou, 2018. "Application of an improved DPCA algorithm in rock-fall monitoring based on synthetic aperture radar," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1043-1055, December.
    • Handle: RePEc:spr:nathaz:v:94:y:2018:i:3:d:10.1007_s11069-018-3454-1
    DOI: 10.1007/s11069-018-3454-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3454-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-018-3454-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:94:y:2018:i:3:d:10.1007_s11069-018-3454-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.