• DocumentCode
    2188160
  • Title

    The application of geoeye-1 stereo pair images to regional gravimetric terrain corrections

  • Author

    Huang, Xiaoxia ; Li, Xia ; Li, Hongga ; Zhang, Minghua

  • Author_Institution
    Inst. of Remote Sensing Applic., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2711
  • Lastpage
    2713
  • Abstract
    The accuracy of the gravity corrections is limited by the ability to survey the near-station topography. By now, regional gravity terrain corrections still rely on traditional high field survey, which is inefficient and expensive. In this paper, we explored an alternative way by using high resolution satellite stereo-photogrammetry for gravimetric terrain corrections. In the proposed approach, geoeye-1 stereo pair images with rational function model were used to obtain high precision and density digital terrain models near gravimetric points. Meanwhile, a differential equation was put forwards to compute the gravity terrain effect. Compared with field gravity surveying data, results illustrated that our model is effective for middle zone terrain correction, and has a good prospect for inner zone terrain correction.
  • Keywords
    differential equations; geophysical image processing; geophysical techniques; gravity; photogrammetry; rational functions; topography (Earth); density digital terrain models; differential equation; field gravity surveying data; geoeye-1 stereo pair images; gravimetric points; gravity terrain effect; high field survey; high resolution satellite stereophotogrammetry; inner zone terrain correction; middle zone terrain correction; near-station topography; rational function model; regional gravity terrain corrections; Accuracy; Digital elevation models; Geology; Gravity; Image resolution; Mathematical model; Surfaces; Digital Elevation Model; Geoeye-1; Gravimetric Terrain Correction; Rational Polynomial Coefficient;
  • 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.2012.6350368
  • Filename
    6350368