Multispectral cloud detection method based on sharpening module and Gaussian mixture model

The invention discloses a multispectral cloud detection method based on a sharpening module and a Gaussian mixture model. The method comprises the following steps: acquiring a to-be-detected remote sensing image; inputting the remote sensing image to be detected into a pre-constructed and trained cloud detection model to obtain an output cloud detection result; the construction training method of the cloud detection model comprises the following steps: acquiring a remote sensing image data set; preprocessing the remote sensing image data set to obtain a cloud detection data set; performing feature selection on the cloud detection data set to obtain three clustering features; and constructing a cloud detection model by using the cloud detection data set and the clustering features, wherein the cloud detection model comprises a feature selection module, a thin cloud sharpening module, a GMM clustering module and a superposition module. The method is simple to operate and quick to run, the complexity of a cloud