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基于多源数据融合精细提取三维结构纹理

3D Structure Texture Refined Extraction Based on Multi-source Data Fusion
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摘要 基于机载LiDAR点云、正摄影像与倾斜摄影等多源数据,着重探讨了利用多源数据构建精细化三维模型的融合技术方法,并对融合前与融合后的模型进行了地物特征点平面中误差与高程中误差的计算,取得了较好的测试结果。该多源数据融合构建精细三维模型技术,避免了各单一航测数据的应用弊端,并为同类项目的设计与实施提供了参考。 Based on the airborne LiDAR point cloud,orthoimage,oblique photography and other multi-source data,we mainly discussed the fu-sion technology method of building refined 3D model by using multi-source data,calculated the plane error and elevation error of terrain feature points before and after fusion,and obtained better test results.This technology can avoid the disadvantages of single aerial survey data applica-tion,and provide reference for the design and implementation of similar projects.
作者 卢涛 LU Tao(Zhengyuan Geomatics Group Co.,Ltd.,Beijing 101300,China)
出处 《地理空间信息》 2022年第10期65-67,78,共4页 Geospatial Information
基金 陕西省教育厅专项科研计划项目(18JK1105)。
关键词 机载LIDAR 倾斜摄影测量 多源数据 融合 精度评定 airborne LiDAR oblique photogrammetry multi-source data fusion accuracy evaluation
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