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

Abstract

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 efficiency is improved by pre-defining the feature detection area, a feature point screening method is provided and can be used for calculating a more accurate transformation matrix, more accurate registration is realized. The provided splicing seam searching method can effectively protect the salient target of the overlapping region and ensure the integrity of the target.

Description

technical field [0001] The invention belongs to the technical field of image processing. Background technique [0002] Image stitching technology is an image processing technology that stitches multiple images with overlapping areas into a panoramic image with a large field of view. Under normal circumstances, due to the limited performance of imaging equipment, it is impossible to obtain large-area regional images. Therefore, it is necessary to use image stitching technology to stitch and display the sequence of remote sensing images acquired in real time, so as to ensure that ground experts can fully grasp the situation of ground targets and make correct decisions. decision. [0003] Image stitching needs to search and match the same image content in the overlapping area of ​​two adjacent images, so as to determine the positional relationship between the two images and realize the docking processing of two adjacent images. From the method of mosaic implementation, image ...

AI Technical Summary

Problems solved by technology

[0004] At present, image processing software is generally used for manual stitching in the stitching of multi-strip linear array push-broom images, linear array sweep images, and panoramic images, although manual operations can ensure the clarity and integrity of important objects in the stitching results. , but it takes a lot of manpower to participate, which greatly reduces the efficiency of information processing

[0005] Therefore, in the stit

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