Method for aerophotogrammetric bundle adjustment based on parameterization of polar coordinates

Abstract

The invention relates to a method for aerophotogrammetric bundle adjustment based on parameterization of polar coordinates. The method comprises the following steps of: 1) acquiring a series of images through an aerophotogrammetric area, and extracting and matching characteristic points of all images in the aerophotogrammetric area; 2) expressing the characteristic points based on parameterization of the polar coordinates; 3) establishing an observation equation of the bundle adjustment based on the parameterization of the polar coordinates; and 4) carrying out the adjustment for an area network with the observation equation based on the parameterization of the polar coordinates. According to the method, the traditional form of the parameterization of rectangular coordinates XYZ for expressing three-dimensional characteristic points is changed and replaced by expression with main camera points, observation vectors and polar coordinate quantities in the polar coordinates more close to a measurement space of a camera, and the method can be widely applied to aerial triangulation in aerophotogrammetry.

Description

technical field [0001] The invention relates to a method for aerial triangulation in aerial photogrammetry, in particular to a method for aerial photogrammetry beam adjustment based on polar coordinate parameterization. Background technique [0002] Bundle block adjustment is the principle criterion followed by photogrammetry and the premise of geodesy and digital product production. Aerial triangulation is widely used in many aspects of real life. Its main purposes are: 1. To provide high-precision directional control points and internal and external orientation elements for three-dimensional surveying and mapping topographic maps, making image plane maps and orthophoto maps; 2. To replace geodetic surveying methods, Point measurement for third, fourth or outer triangulation; 3. Used in cadastral photogrammetry to determine the national unified coordinates of boundary points in a wide range; 4. Calculation of massive ground coordinates in a large area for use in Produce di...

AI Technical Summary

Problems solved by technology

The linearization process of nonlinear problems needs to provide an initial value. The accuracy of the initial value directly affects the convergence and convergence speed of the adjustment results. When solving the above-mentioned collinear equation based on the Cartesian coordinate system, the setting of the initial value is very strict. , the unreasonable initial value not only leads to slow convergence, but even causes non-convergence or even less convergence to the global optimum in the adjustment results

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