Sharpening the Pan-Multispectral GF-1 Camera Imagery Using the Gram-Schmidt Approach: The Different Select Methods for Low Resolution Pan in Comparison

  • Qingsheng LiuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)


The Gram-Schmidt spectral sharpening is one of the widely used image sharpening techniques with preserving the spectral information of images. It is a key step for selecting methods for simulating the low resolution pan image. In this paper, we compared the different select methods for low resolution pan applied to sharpening the GF-1 multispectral bands. The results indicated that the optimal GS sharpened GF-1 multispectral image was from the low resolution pan simulated from Lansat7 sensor. Although there was no significant difference between the ten sharpened images and the original low resolution multispectral images through visual inspection, the sharpening increase the correlation coefficients between the multispectral bands, which is not beneficial for land use classification. In the future, a comprehensive evaluation over more study areas with more images should be performed.


Gram-Schmidt Sharpening GF-1 Low resolution pan 



This research work was jointly financially supported by the National Natural Science Foundation of China (Project No.41671422, 41661144030, 41561144012), the National Mountain Flood Disaster Investigation Project (SHZH-IWHR-57), the Innovation Project of LREIS (Project No.088RA20CYA, 08R8A010YA), and National Key Research and Development Project of China (2016YFC1402701). Thanks to China Center for Resources Satellite Data and Application for providing the GF-1 data.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina

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