• Electronics Optics & Control
  • Vol. 23, Issue 6, 30 (2016)
LIU Zhi-gang, LIU Xiang, LIAO Jia-jun, and CAI Shang
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2016.06.007 Cite this Article
    LIU Zhi-gang, LIU Xiang, LIAO Jia-jun, CAI Shang. A Hyperspectral Image Preprocessing Method for Spectral Matching[J]. Electronics Optics & Control, 2016, 23(6): 30 Copy Citation Text show less

    Abstract

    Spectral matching has strict requirements to stability and accuracy of the spectral curve, while the spectral curve in hyperspectral image data is influenced by many factors. An automatic search flat field strategy is designed based on the flat field method. An improved preprocessing method is proposed for hyperspectral images on the basis of dark-object subtraction and empirical method commonly used in the other research areas. Thus automatic reflectance inversion based on hyperspectral image data is realized. Experiments using three different images show that the method of this paper is more accurate and robust than the traditional methods, and can effectively improve the effect of spectral matching.
    LIU Zhi-gang, LIU Xiang, LIAO Jia-jun, CAI Shang. A Hyperspectral Image Preprocessing Method for Spectral Matching[J]. Electronics Optics & Control, 2016, 23(6): 30
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