CHEN Wangli, SUN Tao, CHEN Zhe, MA Guorui. -1 CCD Multi-view Images[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1103-1108. DOI: 10.13203/j.whugis20130289
Citation: CHEN Wangli, SUN Tao, CHEN Zhe, MA Guorui. -1 CCD Multi-view Images[J]. Geomatics and Information Science of Wuhan University, 2014, 39(9): 1103-1108. DOI: 10.13203/j.whugis20130289

-1 CCD Multi-view Images

Funds: The National Natural Science Foundation of China,Nos.41171450,61001187;the National 973Program of China,No.2011CB707100-6;Fundamental Research Funds for the Central Universities,No.6081002.
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  • Author Bio:

    CHEN Wangli,PhD candidate,specializes in restoration and super-resolution of remote sensing images.

  • Received Date: July 02, 2014
  • Revised Date: September 04, 2014
  • Published Date: September 04, 2014
  • Objective As the deformation among multi-view images from the Chang’E-1CCD is non-rigid,giventhe non-planarity of the moon surface,the traditional methods based on the affine transform model arenot suitable for super-resolution correction.For this reason,a new optical flow based super-resolutionframework is proposed.In the framework,the BTV method is employed to estimate a high resolutionimage iteratively.The initial values for a high resolution image are generated by all multi-view imagesthat are registered by optical flow,while the optical flow fields are updated each iteration.Experimen-tal results show that the proposed method performs better for the super-resolution of Chang’E-1CCDmulti-view images than affine transform based methods.The resolution of the reconstructed image isgreatly improved and more details are visible without ringing-effects.
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