Hyperspectral and Multispectral Image Fusion Based on Band Simulation

Hyperspectral images (HSIs) usually have a high spectral resolution but low spatial resolution due to hardware limitations, while multispectral images (MSIs) usually have a low spectral resolution but high spatial resolution. To obtain an image with a high resolution both in spectral and spatial domains, a general strategy is image fusion. A variety of methods have been proposed on this, but these methods generally cannot achieve good performance due to the incomplete overlapping wavelength of the HSI and the MSI. To solve this problem, this letter proposes a novel HSI fusion method based on band simulation. The proposed method expands MSI using spectral unmixing and acquires high-resolution images based on linear least squares. The experimental results on two hyperspectral data sets show that the proposed method outperforms the competitors, especially when the overlapping wavelength of the HSI and the MSI is small.