Aerial remote sensing image splicing method based on feature optimization and optimal splicing seam

The invention discloses an aerial remote sensing image splicing method based on feature optimization and an optimal splicing seam, and belongs to the technical field of image processing. The inventionaims to provide an aerial remote sensing image splicing method based on feature optimization and an optimal splicing seam. The aerial remote sensing image splicing method is used for automatically splicing remote sensing images shot by an aerial reconnaissance camera. The method comprises the following steps: carrying out rough matching on image feature points by utilizing an improved SURF algorithm, and carrying out image fusion by utilizing feature point fine matching based on normal distribution. According to the invention, manual participation is not needed, and automatic splicing of panoramic images can be realized according to the types of the image files. The splicing method provided by the invention has the characteristics of high processing speed and high splicing precision, thefeature point detection ef