Adaptability evaluation of different fusion methods on ZY-3 and Landsat8 images

doi:10.6046/gtzyyg.2014.04.11

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Abstract

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.

Keywords land surface temperature(LST) inversion temperal-spatial variation normalized difference moisture index (NDMI) normalized difference building index (NDBI)

TP751.1

Issue Date: 17 September 2014

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	WANG Yanhui
	XIAO Yao

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WANG Yanhui,XIAO Yao. Adaptability evaluation of different fusion methods on ZY-3 and Landsat8 images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 63-70.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.04.11 OR https://www.gtzyyg.com/EN/Y2014/V26/I4/63

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