摘要
高光谱遥感广泛采用无人机作为飞行平台进行数据采集,具有灵活高效的优点。受无人机性能以及环境天气的影响,采集过程中传感器难以保持固定的拍摄姿态,导致数据产生一定的错位扭曲和变形,虽然无人机载定位系统和惯性测量装置为高光谱相机提供了实时位置和姿态,但受定位测姿精度的限制往往需要采集大量地面控制点进行辅助几何校正,耗费大量时间和人力。为了高效省时消除高光谱数据在采集过程中产生的畸变,基于共线方程原理,设计了一种无人机载推扫式高光谱相机数据采集系统,集成高精度惯性测量系统,并同步采集测区激光雷达(light detection and ranging,LiDAR)点云数据,利用激光点云中蕴含的高精度地形信息进行高光谱数据几何校正,并研究不同密度点云数据对于几何校正结果的影响。实验表明,使用LiDAR点云相对于使用平均高程几何校正结果精度提升了67%,利用激光雷达和高光谱相机同步采集对于提高高光谱数据精度有着显著效果。
Hyperspectral remote sensing widely uses unmanned aerial vehicles(UAV)as flight platforms for data collection,which has the advantages of flexibility and efficiency.However,due to UAV performance and environmental conditions,it is difficult for sensors to maintain a fixed shooting posture during the collection process,resulting in data misalignment,distortion,and deformation.While UAV positioning systems and inertial measurement devices provide real-time position and posture for hyperspectral cameras,achieving high accuracy often necessitates numerous ground control points for auxiliary geometric correction,which is time-consuming and labor-intensive.Therefore,it is necessary to study an efficient and time-saving data processing method to correct distortions in hyperspectral data acquisition.In order to efficiently and time-saving eliminate distortions in hyperspectral data during the acquisition process,an unmanned aerial vehicle(UAV)push scan hyperspectral camera data acquisition system was designed based on the principle of collinearity equations.The system integrates a high-precision inertial measurement system and synchronously collects LiDAR point cloud data in the measurement area.The high-precision terrain information contained in the LiDAR point cloud was used for geometric correction of hyperspectral data,and the influence of different density point cloud data on the geometric correction results was studied.Experiments have shown that using LiDAR point clouds improves accuracy by 67%compared to using average elevation geometric correction results.The use of LiDAR and hyperspectral cameras for synchronous acquisition has a significant effect on improving the accuracy of hyperspectral data.
作者
亓立壮
潘洁
李奇
张亦卓
陈俊美
董晓晗
刘承浩
QI Li-zhuang;PAN Jie;LI Qi;ZHANG Yi-zhuo;CHEN Jun-mei;DONG Xiao-han;LIU Cheng-hao(Qilu Aerospace Information Research Institute,Jinan 250100,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)
出处
《科学技术与工程》
北大核心
2025年第17期7053-7060,共8页
Science Technology and Engineering
基金
国家重点研发计划(2021YFB1407004)
山东省重点研发计划(2021SFGC0401)。
关键词
高光谱
激光雷达
共线方程
几何校正
hyperspectra
LiDAR
collinear equation
geometric correction
