Automatic relative radiometric normalization method based on SIFT feature matching
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Institute of Remote Sensing Applications,Chinese Academy of Sciences,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Institute of Remote Sensing Applications,Chinese Academy of Sciences

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    Abstract:

    This paper analyzed the importance of relative radiometric normalization(RRN) in remote sensing and aerophotogrammetry filed. The linear correction method of RRN was studied. A high automatic RRN method was proposed based on scale-invariant feature transform(SIFT)。It was found that the RRN can minimized radiometric difference among images caused by inconsistencies of acquisition conditions (such as weather、season, etc) rather than in surface reflectance. Compared with the traditional ways, the new method is more robust and automatic.

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SUN Tao, FANG Jun-Yong, LIU Xue, WANG Jin-Nian, TONG Qing-Xi. Automatic relative radiometric normalization method based on SIFT feature matching[J]. Journal of Infrared and Millimeter Waves,2012,31(4):355~359

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History
  • Received:August 09,2011
  • Revised:March 13,2012
  • Adopted:October 18,2011
  • Online: August 28,2012
  • Published:
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