Slope geological disaster extraction method based on multi-feature auxiliary watershed algorithm

The invention belongs to the field of geological disaster information extraction, and discloses a slope geological disaster extraction method based on a multi-feature auxiliary watershed algorithm, which comprises the following steps: segmenting an image to be segmented through a simulated immersion watershed algorithm, and converting the segmented region from an RGB color space to an Luv color space; searching for a minimum region in all the segmented regions; traversing all the adjacent regions of each minimum region, and combining the adjacent regions of which the chromatic aberration values meet conditions with the minimum regions until all the minimum regions are combined; calculating each characteristic factor image layer and superposing the characteristic factor image layers with the merged segmentation area; and setting a topographic feature threshold, a sensitivity feature threshold and a geometrical feature threshold, and removing regions which do not meet threshold conditions, so that the remaining