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国土资源遥感  2018, Vol. 30 Issue (2): 67-72    DOI: 10.6046/gtzyyg.2018.02.09
     技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于消费者级无人机的城市三维建模
余忠迪1,2(), 李辉1(), 巴芳1, 王朝阳1
1.中国地质大学地球科学学院,武汉 430074
2.北京洛斯达数字遥感技术有限公司,北京 100120
3D city model construction based on a consumer-grade UAV
Zhongdi YU1,2(), Hui LI1(), Fang BA1, Zhaoyang WANG1
1. School of Earth Sciences, China University of Geosciences, Wuhan 430074, China
2. Beijing North-star Digital Remote Sensing Technology Co., Ltd., Beijing 100120, China
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摘要 

城市三维建模是“智慧城市”建设的关键技术之一。为解决传统城市建模方法存在的数据采集难度大、成本高、建模效率低等问题,提出了一种基于消费者级无人机倾斜摄影技术的城市三维建模方法。首先,利用云台控制无人机镜头方向来获取研究区的正射及倾斜影像; 然后,利用空中三角测量生成的三维点云构建三维模型,并将从多视影像中提取的建筑物墙面纹理映射到相应的模型; 最终,以中国地质大学(武汉)校园为例建立城市真三维模型。结果表明,该方法在满足模型精度要求的同时,大大提高了建模效率,降低了模型生产成本。

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余忠迪
李辉
巴芳
王朝阳
关键词 消费者级无人机倾斜摄影测量三维建模    
Abstract

3D modeling of urban buildings is one of the key technologies for smart city construction. The traditional modeling methods have many disadvantages in the process of data collection, such as operating difficulty, high cost and low efficiency in 3D modeling. In this paper, the authors propose a 3D city modeling approach based on oblique photography technology of unmanned aerial vehicle(UAV) for consumption. The cradle is used to control the direction of lens, and multi-angle slanted images are obtained. Then the 3D model is constructed by using aerial triangulation principle, and textures of building walls are extracted from multi-angle images. Finally the texture is mapped to the corresponding models, and the true 3D model is built. Result shows that the approach can not only improve modeling efficiency but also reduce the cost during data producing process.

Key wordsconsumer-grade UAV    oblique photogrammetry    3D model
收稿日期: 2016-11-15      出版日期: 2018-05-30
:  P23  
通讯作者: 李辉
引用本文:   
余忠迪, 李辉, 巴芳, 王朝阳. 基于消费者级无人机的城市三维建模[J]. 国土资源遥感, 2018, 30(2): 67-72.
Zhongdi YU, Hui LI, Fang BA, Zhaoyang WANG. 3D city model construction based on a consumer-grade UAV. Remote Sensing for Land & Resources, 2018, 30(2): 67-72.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2018.02.09      或      https://www.gtzyyg.com/CN/Y2018/V30/I2/67
Fig.1  Phantom 4无人机及地面控制系统
Fig.2  三维模型构建技术路线
Fig.3  航线设计
Fig.4  多视影像
Fig.5  空中三角测量结果
Fig.6  加密点云与DSM模型
Fig.7  三维模型成果
误差参数 平面 高程
最大值 0.066 0 0.012 0
最小值 0.018 2 -0.000 1
中误差 0.030 0 0.011 0
Tab.1  验证点误差统计
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