Fusion of hyperspectral and panchromatic images using improved HySure method

Hyperspectral image applications have been explored in various areas, but they are often suffered from coarser spatial resolutions. In recent years, many pan-sharpening approaches which are originally used for fusing panchromatic image with multispectral one have been adapted to hyperspectral images. Most of them ignore the fact that the spectral coverage of the panchromatic image does not match the wavelength acquisition range of the hyperspectal one. In this paper, we proposed an improved HySure method which pays more attention to the bands of hyperspectal image that not covered by panchromatic one. HySure method is used twice in our method. First, it is used to fuse the original observed hyperspectal image with the panchromatic one, and the fusion result is used to construct an intermediate multispectral image which has the same spectral coverage as the hyperspectal one. Then the hyperspectal image and the multispectral one are fused by HySure method again. Experimental results show that improved method is superior to the original one in some image quality measurements, such as cross correlation (CC), root-mean-square error (RMSE), spectral angle mapper (SAM), universal image quality index (UIQI), and relative dimensionless global error in synthesis (ERGAS).