Hyperspectral imaging method and system based on double RGB image fusion and medium

The invention discloses a hyperspectral imaging method and system based on double-RGB image fusion and a medium. The hyperspectral imaging method based on double-RGB image fusion comprises the steps that shallow layer features are extracted through spectral channel up-sampling for double RGB images, and spatial spectrum shallow layer features H0 of a hyperspectral image H are obtained through down-sampling after channel dimension stacking; the hyperspectral image H is iteratively solved based on the spatial spectrum shallow layer feature H0 of the hyperspectral image H, the iteration solution is completed through a deep convolutional neural network formed by cascading spectrum reconstruction modules, and each spectrum reconstruction module is composed of a spectrum section attention module SAM and a spectrum response curve correction module SCM. According to the invention, RGB images with high spatial resolution acquired from different sensors are fused to obtain a hyperspectral image with high spatial resolu