无人机对地观测的遥感场景三维重建实验方案  

Experimental Scheme of 3D Reconstruction of Remote Sensing Scenes Based on Ground Observation by UAV

作　　者：李露[1] 孟偲[1] 武永昌 花莫寒 史振威[1] 袁丁 LI Lu;MENG Cai;WU Yongchang;HUA Mohan;SHI Zhenwei(School of Astronautics,Beihang University,Beijing 100191,China)

机构地区：[1]北京航空航天大学宇航学院,北京100191 [2]不详

出　　处：《实验室研究与探索》2023年第3期235-240,共6页Research and Exploration In Laboratory

基　　金：北京航空航天大学研究生教育与发展研究专项基金(JG20211528);北京航空航天大学重点教改项目(2021150101)。

摘　　要：面向航空航天信息类专业实践培养需求,以无人机航拍城市场景遥感沙盘模型为平台,设计了无人机对地观测的遥感场景三维重建实验方案,为学生提供实验室环境下探索遥感信息技术的途径。实验模拟遥感影像采集过程,设计了无人机的数据传输与相机标定方案,进而根据SFM算法得到场景的三维稀疏点云,最后进行稠密化得到最终三维重建结果。在实验中,学生通过以上步骤获取航拍城市场景沙盘模型的图像序列并通过算法得到最终结果,实验结果表明,稀疏点云与稠密点云的恢复结果与目视场景一致。该实验激发了学生对理论知识的学习兴趣,掌握三维重建相关的基本知识和原理,同时锻炼了学生的实践动手能力和解决问题能力。Aiming at the practical training needs of aerospace information majors,this paper designs an experimental scheme of 3D reconstruction of remote sensing scenes based on ground observation by UAV.We provide students an interesting platform to explore the whole process of remote sensing information and 3D reconstruction technology with the remote sensing sand table model of urban scenes.First,the remote sensing image acquisition process and camera calibration scheme are simulated.Then,according to SFM algorithm,3D sparse point cloud of the scene is obtained.Finally,densification is carried out to obtain the final 3D reconstruction result.In this experiment,students get the image sequence of the aerial sand table model of the urban scene and obtain the final result.It can be seen from the experimental results that the recovery results of sparse point cloud and dense point cloud are consistent with the visual scene.Through experiments,the interest of students in learning theoretical knowledge is stimulated,and they can master the basic knowledge and principles related to 3D reconstruction through active learning.Meanwhile,students’practical ability and problem-solving ability are also exercised.

关 键 词：无人机 对地观测 遥感图像序列 三维重建 SF算法 实验方案 

分 类 号：TM132[电气工程—电工理论与新技术]