This invention provides an intelligent detection method and
system for land surface changes based on multimodal
remote sensing and AI, belonging to the field of
remote sensing device technology. Specifically, it includes: using alignment
processing results to determine the similarity of the identified target's target
modal image with other identified targets under the fusion analysis weather type; combining the identified target's identification deviation data under different weather types to determine secondary identified targets; performing alignment
processing under different weather types based on the secondary identified targets; using the alignment
processing results to determine the available weather type for the secondary identified targets; combining the identification deviation data under the available weather type to determine the identification method for the available identified targets among the secondary identified targets; and determining the intelligent detection method for land surface changes based on the deviation between the available identified targets and the detection results of each identified target under the weather type, thereby improving the accuracy of land
surface change detection processing.