Research on fusion of GF-2 imagery and quality evaluation

doi:10.6046/gtzyyg.2016.04.17

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Abstract

GaoFen-2 (GF-2) is the first sub-meter civilian optical remote sensing satellite of China configured with 0.81 m resolution panchromatic cameras and 3.24 m multi-spectral cameras. Researches on image fusion algorithm suitable for GF-2 would have great significance for improving the image quality and expanding the application scope of the satellite. Four GF-2 images covering Northeast China from November 22 to 27, 2014 were used in this paper. The authors compared the efficiency of five fusion algorithms, which include component transform (PCA), Gram-Schmidt (GS), modified-HIS transform, HPF and HCS transform algorithm. In order to quantitatively assess the quality of the fused images, the authors adopted the following steps: The authors first examined the visual qualitative result and then evaluated the correlation between the original multi-spectral and the fused images. The authors compared the fused image with the original image in degree of distortion and parts of the statistical parameters such as entropy, average grads and correlation coefficient of the various frequency bands. Finally, the authors performed a supervised classification for the fused images, and compared the accuracies of resulting images. The result shows that all the fusion techniques improve the resolution and the visual effect. The HCS and GS transform algorithm could not only achieve the best results but also have no limit to the number of bands, and hence it is the most suitable method for the GF-2 image fusion. The HPF method is next only to the HCS transform method in the spatial detail enhancement, but the spectral fidelity is the worst among the five image fusion algorithms. It is moderate for the performance of the PCA and modified-IHS transform method, and then these algorithms can provide backup for the GF-2 image fusion.

Keywords pixel homogeneous regions(PHR) pixel shape index(PSI) threshold high spatial resolution remotely sensed imagery

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Issue Date: 20 October 2016

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	YANG Qingshan
	ZHANG Hua

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YANG Qingshan,ZHANG Hua. Research on fusion of GF-2 imagery and quality evaluation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 108-113.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.04.17 OR https://www.gtzyyg.com/EN/Y2016/V28/I4/108

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