Sparse tensor neighborhood embedding-based remote sensing image fusion method

The invention discloses a sparse tensor neighborhood embedding-based remote sensing image fusion method. According to the technical scheme of the invention, the method comprises the following steps of 1), inputting a low-resolution and multi-spectral image M and a high-resolution and full-color image P; 2) dividing the low-resolution and multi-spectral image M into multi-spectral image tensor blocks M1; 3) constructing a high-resolution and multi-mode dictionary HD and a low-resolution and multi-mode dictionary LD based on the high-resolution and full-color image P and the multi-spectral image tensor blocks M1; 4) optimizing the atoms of the high-resolution and multi-mode dictionary HD and the atoms of the low-resolution and multi-mode dictionary LD; 5) solving the tensor sparse coefficient A of the multi-spectral image tensor blocks M1 in the low-resolution and multi-mode dictionary LD; 6) multiplying the tensor sparse coefficient A by the high-resolution and multi-mode dictionary HD, and obtaining a high-re