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作 者:李军 LI Jun(Hangzhou Tongji Surveying and Mapping Company Limited,Hangzhou,Zhejiang 311100,China)
出 处:《北京测绘》2024年第10期1437-1442,共6页Beijing Surveying and Mapping
摘 要:传统的点云滤波算法使用场景片面化,且人工干预的需求较大,阈值的自适应性能较弱,这在一定程度上导致了三维模型构建效果较差。因此,本研究在混合最小二乘曲面拟合的基础上提出了一种自适应阈值改进滤波算法。算法验证显示,本研究提出的算法在城市、乡村和森林场景均能实现高精度的滤波处理,样本数据滤波效果平均误差仅为7.04%。与其他算法相比,减少了12.22%~72.69%。该算法在不同场景下滤波效果更稳定,在不连续地域以及多建筑物的城市等场景下滤波效果更优越。建模效果对比显示,本文提出的算法滤波后的三维模型的精度和几何结构处理更优越,生成的三维模型更贴近真实建筑物。结果表明,本研究提出的自适应阈值改进滤波算法对不同场景滤波处理精度更好,且能有效保留实景的地域特征和地形细节,构建的三维模型精确度和细节处理效果更好,有利于提升城市级实景三维建模的构建效能。The traditional point cloud filtering algorithm uses a one-sided scene and requires manual intervention.In addition,its adaptive performance of the threshold is weak,which leads to a poor construction effect of the three-dimensional(3D)model to a certain extent.Therefore,the study proposed an adaptive threshold improvement filtering algorithm based on mixed least squares surface fitting.Algorithm validation shows that the algorithm proposed in the study can achieve high-precision filter processing in urban,rural,and forest scenes,and the average error of the filtering effect of the sample data is only 7.04%,a reduction of 12.22%-72.69%compared with other algorithms.The filtering effect of this algorithm is more stable in different scenes and is superior in discontinuous geographic areas and urban scenes with many buildings.A comparison of modeling effects shows that the accuracy and geometric structure processing of the 3D model filtered by the proposed algorithm are superior,and the generated 3D model is closer to the real building.The results show that the proposed adaptive threshold improvement filtering algorithm has better filtering accuracy for different scenes and can effectively retain the geographical features and terrain details of the real scene.The constructed 3D model has better accuracy and detail processing effect,which is conducive to improving the construction efficiency of urban 3D real scene models.
关 键 词:城市级 实景三维 滤波算法 曲面拟合 最小二乘法
分 类 号:P237[天文地球—摄影测量与遥感]
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