Guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy

The invention discloses a guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy, and belongs to the field of remote sensing image processing. The method comprises the following steps: firstly, carrying out IHS transformation on a multispectral remote sensing image, and carrying out Log-Gabor decomposition on an intensity component I; secondly, carrying out self-adaptive guide filtering on the high-resolution panchromatic remote sensing image by utilizing an edge guide matrix based on direction region entropy, and extracting rich edge texture details contained in the panchromatic image according to information entropy changes of different regions of the panchromatic remote sensing image; secondly, constructing a fusion decision template by taking energy distribution of a Log-Gabor transformation coefficient as guidance, and determining detail injection intensity of an intensity component I in a fusion process according to the fusion decision template