• DocumentCode
    2188201
  • Title

    Study on igneous rocks identification using full gradient of potential field based on discrete cosine transform

  • Author

    Hu Weijian ; Hao Tianyao ; Jiang WeiWei ; Xu Ya ; Huang Song

  • Author_Institution
    Key Lab. of Pet. Resources Res., Inst. of Geol. & Geophys., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2707
  • Lastpage
    2710
  • Abstract
    Edge detection and enhancement techniques are usually used in identifying the boundary of geologic bodies using potential field data. In this paper, we present an igneous rocks identification method using full gradient of potential field based on discrete cosine transform. Rocks physical properties for igneous rocks usually have high-density and high magnetic susceptibility, with strong gravity or magnetic anomaly. So it´s available to identify the boundaries and distribution of igneous rocks using full gradient of gravity and magnetic anomalies method. Discrete cosine transform was used in computing full gradient of potential field to improve the computational speed and accuracy. The modeling test proves good results based on the method we have discussed. Using this method, we identified igneous rocks distribution of northwestern South China Sea and its adjacent regions.
  • Keywords
    discrete cosine transforms; edge detection; geophysical techniques; gravity; magnetic susceptibility; oceanographic regions; rocks; South China Sea; discrete cosine transform; edge detection; edge enhancement; gravity anomaly; igneous rocks identification; magnetic anomaly; magnetic susceptibility; potential field data; Discrete cosine transforms; Gravity; Magnetic resonance imaging; Magnetic separation; Magnetic susceptibility; Rocks; Discrete cosine transform; Igneous rocks; Potential field;
  • 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.2012.6350369
  • Filename
    6350369