• Electronics Optics & Control
  • Vol. 26, Issue 1, 38 (2019)
WANG Ya-kun1、2, ZHU Rong-gang1、2, LIU Bo1、2, and LI Jian-ru3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.01.009 Cite this Article
    WANG Ya-kun, ZHU Rong-gang, LIU Bo, LI Jian-ru. Hyperspectral Image Resolution Enhancement Algorithm with Minimum Volume Constraint[J]. Electronics Optics & Control, 2019, 26(1): 38 Copy Citation Text show less
    References

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    [4] ZHANGY F.Spatial resolution enhancement of hyperspectral image based on the combination of spectral mixing model and observation model[C]//Proceedings of SPIE-the International Society for Optical Engineering, 2014:201-204.

    [5] LIU D, BOUFOUNOS P T.Dictionary learning based pan-sharpening[C]//IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012:2397-2400.

    [6] LEE D D, SEUNG H S.Learning the parts of objects by non-negative matrix factorization [J].Nature, 1999, 401(6755):788-791.

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    [10] WEI Q, BIOUCAS-DIA J M, DOBIGEON N, et al.Fusion of multispectral and hyperspectral images based on sparse representation[C]//The 22nd European Signal Processing Conference(EUSIPCO), 2014:1-5.

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    WANG Ya-kun, ZHU Rong-gang, LIU Bo, LI Jian-ru. Hyperspectral Image Resolution Enhancement Algorithm with Minimum Volume Constraint[J]. Electronics Optics & Control, 2019, 26(1): 38
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