Scanning close-range photogrammetry method

Abstract

The invention relates to a scanning close-range photogrammetry method, which is used for carrying out scanography by arranging an ordinary non-measurement digital camera on a scanography tripod head. The scene of a photographed target is divided into different blocks according to the distance of the photographed target and the focal length of the objective lens of the camera, corresponding base stations are arranged, and the number of the base stations is equal to the sum of the number of the divided blocks of the target and one; in order to reduce the difficulty in automated image matching arising from the deformation of the image of the photographed target, additional stations are additionally arranged among the base stations; and the scanography is carried out on a targeted object block through horizontally and vertically rotating the camera at each photographing station. According to the scanning close-range photogrammetry method, the photographing visual field angles of the photographing stations are increased, the acquired image data simultaneously meets the requirements on measurement accuracy and matching automation, the overall processing of all image data in a photographed area can be realized by using the classic aerial triangulation theory, and the high-accuracy measurement results can be obtained at a photographing distance from tens of meters to more than one thousand meters, so that the requirements on the measurement of large-scale scene targets can be met.

Description

technical field [0001] The invention relates to the field of photogrammetry and remote sensing, in particular to digital close-range photogrammetry and its application in engineering survey, and a scanning close-range photogrammetry method. Background technique [0002] The measurement accuracy of photogrammetry depends on two basic parameters: [0003] ① if figure 1 As shown, the planar accuracy of photogrammetry depends on the size of the ground element (GSD-Ground Sample Distance) , the smaller the GSD, the higher the plane measurement accuracy. But the GSD depends on the cell size, photographic distance and photographic focal length : [0004] [0005] Among them, the pixel Size, for a digital camera, is a fixed parameter; and photographic distance proportional to The larger the GSD, the larger the measurement error, and the photographic distance Depends on the object of photogrammetry, often limited by the scene (generally cannot change value). ...

AI Technical Summary

Problems solved by technology

[0010] At present, most close-range photogrammetry uses "parallel photogrammetry", and its intersection angle can only reach , which is far from meeting the requirements of photogrammetric intersection angle; if "intersection photogrammetry" is used, although it can meet the requirements of photogrammetric intersection angle, it is impossible to organize photogrammetric data for photogrammetry of large scene objects

[0011] In the existing technology, many close-range photogrammetry systems use the method of multi-baseline intersection photography to solve the contradiction between the difficulty of automatic matching when the intersection angle is large and the low accuracy of intersection angles when the intersection angle is small, but this method has many limitations , it is difficult to achieve engineering applications: the range of objects that can be photographed by one multi-baseline intersection photography is limited. control points to ensure the splicing accuracy between regions, which increases the workload in the field and limits the efficiency of data processing

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