• DocumentCode
    2497271
  • Title

    Full-automatically image geometric rectification with high accuracy based on MODIS data

  • Author

    Wang, Yong-tao ; Liu, Liang-ming

  • Author_Institution
    Sch. of Inf. Eng. on Remote sensing, Wuhan Univ., China
  • Volume
    5
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    2950
  • Abstract
    Before the remotely sensed imagery´s some application, calibration and geolocation are needed. In this paper, a full-automatic application for the geometric rectification of remotely sensed imagery based on MODIS (Moderate-resolution Imaging Spectroradiometer) data is described, which is one way to locate the image. In its procedure, many algorithms such as feature extraction, feature matching, polynomial correction and resample are included and integrated. And with this application, we can rectify the MODIS data imagery in real time with high precision and speed without manual supervisor; the output results by this application indicate that it has good practicability and credibility in some case.
  • Keywords
    computational geometry; feature extraction; image matching; image resolution; MODIS data imagery; automatically image geometric rectification; feature extraction; feature matching; full automatic application; moderate resolution imaging spectroradiometer; polynomial correction; remotely sensed imagery; Data engineering; Equations; Feature extraction; Geoscience; Image matching; Image resolution; Instruments; MODIS; Polynomials; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1260078
  • Filename
    1260078