An Algorithm for Geometric Accuracy Reduction of Terrain Height in Oblique Photogrammetry 3D Models Based on Bounded Product Functions
The geometric accuracy reduction of 3D models derived from oblique photogrammetry is crucial for the security of high-precision data.However,the existing research predominantly focuses on 2D data,which is difficult to meet the demand of 3D model accuracy reduction.This paper proposes a bounded product function-based algorithm for reducing the geometric accuracy of terrain heights in oblique photogrammetry 3D models.The algorithm leverages the continuity and differentiability at any order of bounded functions to ensure that data deformation remains smooth,continuous,and gradual,which effectively avoids large-scale abrupt changes and maintains consistency of the spatial form of data.Additionally,by incorporating the periodicity of trigonometric functions,the robustness of the proposed algorithm is further enhanced.Experimental results demonstrate that the proposed algorithm can effectively control the reduction of data precision.At the same time,the algorithm can maintain the spatial form of data and meet the requirements of data availability,and the algorithm has high security and is conducive to the security disclosure of data.
oblique photogrammetry 3D modelgeometric accuracy reductionterrain height
万方数据
维普
