• DocumentCode
    2218576
  • Title

    Multi-spectral image inter-band registration technology research

  • Author

    Fang, Zhou ; Cao, Chunxiang ; Jiang, Wanshou ; Ji, Wei ; Xu, Min ; Lu, Shilei

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4287
  • Lastpage
    4290
  • Abstract
    Multi-spectral image refers to the use of multi-spectral sensors from the same object (target or region) to obtain the spectral range of more than one image. With the development of multi-spectral imaging technology, the existence of non-rigid mismatch among the original inter-band images requires a higher accuracy and faster registration. Here an automatic elastic registration method based on mutual information and thin-plate spline interpolation is presented, we carried out HJ-1A/B satellite Level 1 visible light inter-band images registration. This does not require other priori assumptions among multi-spectral image gray relationships, or the need for image segmentation and pre-processing (such as feature extraction, classification, etc.). Through the research about multi-spectral image inter-band registration, deviations may be controlled within an acceptable range, we can get more information about multi-spectral images.
  • Keywords
    geophysical image processing; image registration; image sensors; interpolation; splines (mathematics); HJ-1A/B satellite Level 1 visible light inter-band image registration; automatic elastic registration method; multispectral image inter-band registration; multispectral sensors; mutual information; nonrigid mismatch; thin-plate spline interpolation; Accuracy; Biomedical imaging; Image registration; Interpolation; Mutual information; Splines (mathematics); Vectors; Image registration; Multispectral imaging; Mutual information; Spline;
  • 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.2012.6351720
  • Filename
    6351720