• DocumentCode
    535197
  • Title

    The geometric correction and accuracy assessment based on Cartosat-1 satellite image

  • Author

    Junqing, Chen ; Tao, Jiang ; Wenhu, Lu ; Mingqin, Han

  • Author_Institution
    Remote Sensing Dept., Shandong Univ. of Sci. & Technol., Qingdao, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1253
  • Lastpage
    1257
  • Abstract
    In the fast developing economic era, traditional topographic map updates can not keep up with the fast pace of the times, so taking use of remote sensing image data to make digital orthophoto map have been the most powerful means. In the article, it takes use of ERDAS LPS module to process Indian high-resolution satellite Cartosat-1´s (also known as IRS-P5) three-dimensional image extracting region DEM (digital elevation model). In support of DEM, we can produce the orthophotos, using rational function model. In order to compare the accuracy of orthophotos, which is made by different model, we also use the direct linear transformation model and polynomial model to calibrate the satellite image. we evaluate the positioning accuracy, according to the ground control points. Compare the accuracy of the different model and obtain the experimental results, it shows that under good control, rational function model´s location accuracy is higher than direct linear transformation model and polynomial model, especially in the undulating areas.
  • Keywords
    image processing; remote sensing; satellite communication; Cartosat-1; ERDAS LPS module; accuracy assessment; direct linear transformation model; geometric correction; orthophotos; polynomial model; remote sensing image; satellite image; topographic map updates; Accuracy; Biological system modeling; Calibration; Data models; Mean square error methods; Polynomials; Satellites; CARTOSAT-1 image; DEM; correction model; evaluation of positioning accuracy; ortho correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647273
  • Filename
    5647273