The invention relates to the technical field of image recognition, and particularly discloses an unmanned aerial vehicle
remote sensing image-based geographic surveying and mapping target intelligent detection method, which comprises the following steps of: 1, determining the overlapping degree of shot images according to the
route of an unmanned aerial vehicle, and sequentially carrying out preprocessing operation on the collected
remote sensing images to obtain preprocessed
remote sensing images; step 2, selecting an image at the central position of the shooting area as a reference, and respectively extracting features of the
reference image and the image to be registered by using a
feature extraction network to obtain corresponding feature maps; according to the method, the original information is reserved, the accuracy of
feature extraction and matching is improved, accurate registration and high-quality reconstruction are realized, the problem of how to improve the
image splicing precision and efficiency as much as possible while the original image information is reserved in the prior art can be solved, the whole process is high in
automation degree, manual intervention is reduced, and the
image splicing efficiency is improved. The
image processing efficiency is greatly improved, and the application of the unmanned aerial vehicle remote sensing image in the geographic surveying and mapping field is promoted.