• DocumentCode
    2942324
  • Title

    Automatic DEM generation using IKONOS stereo imagery

  • Author

    Bang, Ki In ; Jeong, Soo ; Kim, Kyung-Ok ; Cho, Woosug

  • Author_Institution
    Spatial Inf. Technol. Center, ETRI, Daejeon, South Korea
  • Volume
    7
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    4289
  • Abstract
    This paper introduces two methods for DEM generation in IKONOS stereo imagery using modified rational polynomial coefficients (RPC). The Rational Function Model (RFM) is the sensor model of IKONOS imagery for end-users. IKONOS imagery vendors provide RPC, RFM coefficients for IKONOS, for end-users with imagery. So it is possible that end-users obtain geospatial information in their IKONOS imagery without any additional effort. But there are still requirements for the rigorous DEM on RPC user. In IKONOS imagery, physical sensor modeling is difficult because IKONOS vendors do not provide satellite ephemeris data and abstract sensor modeling requires many ground control points (GCPs) well distributed in the whole image as well as other satellite imagery. Therefore RPC modification is the better choice. If a small number of GCPs is available, DEM can be generated using modified RPC by methods which are introduced in this paper. Study on DEM generation using modified RPC in IKONOS guarantees result reliability. Pseudo GCP generated with vendor´s RPC and additional GCP make it possible through sequential solution.
  • Keywords
    image sensors; photogrammetry; remote sensing; DEM generation; IKONOS stereo imagery; RFM; RPC; Ration Function Model coefficients; Rational Polynomial Coefficients; digital elevation model; geospatial information; ground control points; satellite ephemeris; sensor model; sequential solution; Civil engineering; Data mining; Geographic Information Systems; Image sensors; Information technology; Mathematical model; Mathematics; Polynomials; Satellites; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295492
  • Filename
    1295492