This invention proposes a
hyperspectral image fusion and
reconstruction method based on cross-
modal interaction and difference
perception. The steps are as follows: acquiring training and testing sample sets; constructing a reconstruction
network model based on cross-
modal interaction and difference
perception; iteratively training the reconstruction
network model; and obtaining the reconstruction results of the hyperspectral image. The residual module of this invention utilizes multiple cross-
modal interaction modules (CIMB) to perform cross-modal
collaborative interaction on the spectral-spatial feature maps of LR-HSI and HR-MSI, enabling the mining of interaction features and contextual features between the two modalities. The difference
perception fusion module (DPFM) performs difference perception and fusion on the cross-modal interaction features output by CIMB, effectively enhancing key details while mitigating
distortion caused by differences between the two modal features, thus significantly improving reconstruction accuracy.