ZY-3 and Landsat8 are new satellites lunched recently. In terms of the two kinds of images acquired by the two satellites, the applicability evaluation of the common fusion methods is insufficient. In this paper, the adaptability evaluation of the 6 fusion methods including wavelet transform(WT), Gram_Schimdt transform(G-S), principal component analysis (PCA), Pansharp and HIS for ZY-3 and Landsat8 image fusion was discussed, and the spectral information fidelity and spatial information integration were used to evaluate the quality of image fusion. The results of quality evaluation show that, in terms of spatial information integration, IHS transform is the best, followed by PCA, Brovey, G-S and WT, and Pansharp is the worst transform for ZY-3 image; G-S transform is the best, and Pansharp is the worst transform for Landsat8 image. Nevertheless, in terms of spectral information fidelity, PCA transform is the best, followed by IHS, G-S and Brovey, and WT is the worst transform for ZY-3 image, G-S transform is the best, followed by Pansharp and Brovey, and IHS, WT and PCA are worse transforms for Landsat8 image.
刘会芬, 杨英宝, 于双, 孔令婷, 章勇. 遥感图像不同融合方法的适应性评价——以ZY-3和Landsat8图像为例[J]. 国土资源遥感, 2014, 26(4): 63-70.
LIU Huifen, YANG Yingbao, YU Shuang, KONG Lingting, ZHANG Yong. Adaptability evaluation of different fusion methods on ZY-3 and Landsat8 images. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 63-70.
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2014, Vol. 26 
