Quick mosaic method for aviation images with high tilt rate and low overlapping rate

Abstract

The invention proposes a quick mosaic method for aviation images with high tilt rate and low overlapping rate. By utilizing the method, the robustness of registration of the images with high tilt rate and low overlapping rate can be improved, the mosaic error can be reduced, and the synthesis efficiency of a wide image can be enhanced. The method is implemented by the following technical scheme of firstly, calculating a position distribution relationship of the images by utilizing imaging assistance data of the aviation images, establishing an image position relationship matrix, and calculating a reference image; secondly, calculating overlapped regions between adjacent images on adjacent paths through an adjacent image path between a shortest path search image and the reference image, and extracting significant feature points of the overlapped regions; thirdly, normalizing the feature points or the regions into a vertex, constructing a multi-scale image by utilizing different adjacent distance point sets, and performing matching by applying image matching to calculate a spatial transformation matrix; and finally, calculating corresponding coordinates of synthesized image pixels in a source image by using the spatial transformation matrix, and calculating the pixel values of the synthesized image by using bilinear interpolation, thereby obtaining a final mosaic image.

Description

technical field [0001] The invention relates to an image mosaic method related to photogrammetry, computer vision, image processing and computer graphics in the field of image processing, in particular to a method for quickly mosaicing aerial images with large inclination and low overlap rate based on salient key point map matching. Background technique [0002] Image mosaic (image mosaic) technology is to combine several overlapping images, which may be images obtained at different times and from different perspectives, into a large seamless high-resolution image. The image sequence is matched and aligned in space, and after resampling and synthesis, a complete, high-definition new image of a wide-view scene containing the information of each image sequence is formed. Early image stitching research has been used in photogrammetry, mainly integrating a large number of aerial or satellite images. In order to solve the limitations of the shooting angle of the lens, with the d...

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Problems solved by technology

[0017] The purpose of the present invention is to solve the problem that the image stitching method at the present stage does not consider the serious distortion of the aerial image caused by the imaging conditions of long distance, large inclination angle, and low overlap rate, the local characteristics of the overlapping area are relatively different, and there are few feature points to be matched. problem, as well as the problem of long image stitching time caused by the large frame and large number of aerial images, a method is provided to introduce imaging auxiliary data to calculate the effective overlapping area, extract key points through the detection of salient areas in the overlapping area, and use the key points to construct Multi-scale graph and graph-based matching methods improve the success probability and stitching speed of image stitching under special imaging conditions, and realize the fast stitching method of aerial images with large tilt and low overlap rate

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