• Journal of Infrared and Millimeter Waves
  • Vol. 34, Issue 1, 92 (2015)
SHI Yue-Chan1、2、*, YANG Gui-Jun2, LI Xin-Chuan3, SONG Jian2, WANG Ji-Hua4, and WANG Jin-Di1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.3724/sp.j.1010.2015.00092 Cite this Article
    SHI Yue-Chan, YANG Gui-Jun, LI Xin-Chuan, SONG Jian, WANG Ji-Hua, WANG Jin-Di. Intercomparison of the different fusion methods for generating high spatial-temporal resolution data[J]. Journal of Infrared and Millimeter Waves, 2015, 34(1): 92 Copy Citation Text show less
    References

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    [9] Gao F, Masek J, Schwaller M, et al. On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance[J]. IEEE Transactions on Geoscience and remote Sensing, 2006, 44(8), 2207-2218.

    [10] Hilker T, Wulder M A, Coops N C, et al. A new data fusion model for high spatial-and temporal-resolution mapping of forest disturbancebased on Landsat and MODIS [J]. Remote Sensing of Environment. 2009, 113(8): 1613-1627.

    [11] Zhu Xin-lin, Chen Jin, Gao Feng, et al. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions[J]. Remote Sensing of Environment, 2010, 114(11): 2610-2623.

    [13] Zhang Wei, Li Ai-nong, Jin Hua-an, et al. An Enhanced Spatial And Temporal Data Fusion Model For Fusing Landsat And MODIS Surface reflectance To Generate High Temporal Landsat-like Data[J]. Remote Sensing, 2013, 5(10): 5346-5368.

    SHI Yue-Chan, YANG Gui-Jun, LI Xin-Chuan, SONG Jian, WANG Ji-Hua, WANG Jin-Di. Intercomparison of the different fusion methods for generating high spatial-temporal resolution data[J]. Journal of Infrared and Millimeter Waves, 2015, 34(1): 92
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