• Journal of Infrared and Millimeter Waves
  • Vol. 31, Issue 4, 355 (2012)
SUN Tao1、2、*, FANG Jun-Yong1, LIU Xue1, WANG Jin-Nian1, and TONG Qing-Xi1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3724/sp.j.1010.2012.00355 Cite this Article
    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 Copy Citation Text show less

    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 the scale-invariant feature transform(SIFT).It was found that the RRN can minimize 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.
    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
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