High-fidelity remote sensing image fusion method based on intermediate frequency signal modulation and compensation

The invention provides a remote sensing image fusion method based on intermediate frequency signal modulation and compensation, and mainly solves the problems that contradiction exists between spectrum retention performance and space retention performance in remote sensing image fusion, and an algorithm with better spectrum retention performance is seriously limited by registration precision and modulation transfer function (MTF) calculation precision. The core mechanism of the method is that intermediate frequency components of high-resolution panchromatic data and low-resolution multispectral data are used for spatial detail modulation and injection, and the linear combination of the high-resolution panchromatic data and the low-resolution multispectral data is used for compensating spectral information/spatial structure information. The fusion result has good spectral retention ability, is not sensitive to registration deviation, and can effectively inhibit the false structure of the edge. The fusion metho