| 基于LiDAR的农田地形环境三维重建方法 |
| |
| 引用本文： | 郎朗,冯晓蓉,刘浪.基于LiDAR的农田地形环境三维重建方法[J].测绘通报,2020,0(2):55-60. |
| |
| 作者姓名： | 郎朗 冯晓蓉 刘浪 |
| |
| 作者单位： | 1. 重庆三峡职业学院智能制造学院, 重庆 404100;2. 重庆三峡职业学院汽车 工程学院, 重庆 404100;3. 重庆交通大学土木工程学院, 重庆 400074 |
| |
| 基金项目： | 重庆市教委科学研究项目（KJ1503401） |
| |
| 摘 要： | 为克服传统农田土地平整测量方法耗时费力的特点，提出采用LiDAR技术对农田地形进行重建的探索性研究。通过HDL-32E型激光雷达等搭建了系统的硬件平台，应用C++语言编写了系统数据的采集程序；在此基础上对激光雷达所采集数据进行了标定，研究了农田地形重建系统中不同坐标系的转换方法；同时基于最小值去噪法设计了更适用于农田地形点云去噪的均值限差去噪法。通过对比在农田起伏较大区域不同坡度范围内RTK与激光雷达所测单元个数，对系统精度进行了评价；最后实现了车载农田地形重建系统的界面显示、应用与精度评估。结果表明，在10°~15°、25°~30°大坡度范围内激光雷达所获农田地形更为丰富，精度更高。该方法重建的农田地形模型点云数据和原始农田地形点云数据投影面积逼近度可达93%，验证了本文研究方法应用于农田地形环境重建的可行性，同时为今后的土地精细平整工作提供了理论参考与依据。
|
| 关 键 词： | 激光雷达 农田地形 土地平整度 信息融合 重建 |
| 收稿时间： | 2019-05-27 |
The method of 3D reconstruction of farmland terrain environment based on LiDAR |
| |
| LANG Lang,FENG Xiaorong,LIU Lang.The method of 3D reconstruction of farmland terrain environment based on LiDAR[J].Bulletin of Surveying and Mapping,2020,0(2):55-60. |
| |
| Authors: | LANG Lang FENG Xiaorong LIU Lang |
| |
| Institution: | 1. Intelligent Manufacturing College, Chongqing Three Gorges Vocational College, Chongqing 404100, China;2. Automobile Engineering College, Chongqing Three Gorges Vocational College, Chongqing 404100, China;3. College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China |
| |
| Abstract: | In order to overcome the time-consuming and laborious characteristics of traditional land leveling measurement methods, LiDAR technology is proposed to reconstruct farmland terrain. The hardware platform of the system is built by HDL-32E LiDAR, and the data acquisition program is compiled by C++ language. On this basis, the data collected by the LiDAR is calibrated, and the transformation methods of different coordinate systems in the farmland terrain reconstruction system are studied. Meanwhile, based on the minimum denoising method, a denoising method with mean difference is designed, which is more suitable for the denoising of farmland terrain point clouds. This is the case. The system accuracy is evaluated by comparing the number of units measured by RTK and LiDAR in the region with large fluctuation of farmland and without slope. Finally, the interface display, application and accuracy evaluation of the vehicle-mounted farmland terrain reconstruction system are realized. The results show that the farmland topography obtained by LiDAR is more abundant and accurate in the range of of 10°~15°、25°~30°. The projection area approximation of the reconstructed farmland topographic model point cloud data and the original farmland topographic point cloud data can reach 93%. It shows that the research method in this paper can be applied to the reconstruction of farmland topographic environment. At the same time, it provides a theoretical reference and basis for the future work of land fine leveling. |
| |
| Keywords: | LiDAR farmland terrain land leveling information fusion reconstruction |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《测绘通报》浏览原始摘要信息 |
| 点击此处可从《测绘通报》下载免费的PDF全文 |
|
