• DocumentCode
    2320858
  • Title

    Automatic registration of SAR and optics image based on multi-features on suburban areas

  • Author

    Weijie, Jia ; Jixian, Zhang ; Jinghui, Yang

  • Author_Institution
    Inst. of Photogrammetry & Remote Sensing, Chinese Acad. of Mapping & Surveying, Beijing, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Image registration, the process of estimating the optimal correspondence relation between two or more images taken at different time, from different viewpoint or by different sensors, is essential for a variety of applications in remote sensing, computer vision, pattern recognition and medicine, etc. It is a prerequisite for accomplishing high level tasks such as sensor fusion, surface reconstruction, change detection, and object recognition. In order to realize the automatic registration between Synthesize Aperture Radar(SAR) and Optical images, in this paper, an automatic registration algorithm based on different features is proposed. This method is proposed according to characteristic of image of remote sensing. Patches, edge and point features are used in our paper to registry. The evaluation of the image registration accuracy proves that the stratified registration algorithm based on multi-features proposed in this paper work well in automatic registration of SAR image and optical image with pixel accuracy.
  • Keywords
    feature extraction; geophysical techniques; geophysics computing; image matching; image registration; remote sensing by radar; synthetic aperture radar; SAR images; Synthesize Aperture Radar; automatic registration algorithm; change detection; edge-points features; object recognition; optical images; patches feature; remote sensing; sensor fusion; suburban areas; surface reconstruction; Application software; Biomedical imaging; Biomedical optical imaging; Computer vision; Image registration; Image sensors; Optical sensors; Pattern recognition; Remote sensing; Sensor fusion; Feature-based registration; Image registration; Optical image; Patches feature; SAR image; edge and points features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137610
  • Filename
    5137610