基于光学卫星立体影像与ICESat-2激光控制点全球数据库的几何定位:框架与关键技术

Mi Wang, Yu Wei, Y. Pi
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摘要

块体平差是利用光学立体卫星图像制作高精度地理空间三维数据产品的关键技术之一。对于地面控制点较少或没有地面控制的块段平差,模型的垂直误差是制约三维数据产品精度的决定性因素。星载激光高度计获得的高程数据具有更新周期短、定位精度高、采集成本低的优点,为通过组合BA提高立体模型的高程精度提供了充足的数据支持。本文提出了一种基于光学卫星立体成像(OSSI)和星载激光高度计数据的几何定位模型。首先,我们通过对现有方法的文献综述,阐述了这项工作的原则和必要性。然后,我们的地理定位模型的框架。其次,依次阐述了该模型的四个关键技术,包括全局激光控制点的获取和管理、LCP与OSSI的关联、LCP和OSSI相结合的块平差模型以及组合BA的精度估计和质量控制,利用紫苑3号(ZY-3)OSSI和ICESat-2激光数据,在山东试验场进行了BA联合实验。实验结果证明,该方法可以高精度地自动选择LCP。组合BA的高程偏差最终达到0.06的平均误差(ME) m和1.18的均方根误差(RMSE) m、 远低于13.20的ME m和3.88的RMSE m。进一步的研究方向将是如何使用大量激光点作为检查点进行更充分的精度分析和质量控制。
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Geometric positioning integrating optical satellite stereo imagery and a global database of ICESat-2 laser control points: A framework and key technologies
ABSTRACT Block Adjustment (BA) is one of the essential techniques for producing high-precision geospatial 3D data products with optical stereo satellite imagery. For block adjustment with few ground-control points or without ground control, the vertical error of the model is the decisive factor that constrains the accuracy of 3D data products. The elevation data obtained by spaceborne laser altimeter have the advantages of short update periods, high positioning precision, and low acquisition cost, providing sufficient data support for improving the elevation accuracy of stereo models through the combined BA. This paper proposes a geometric positioning model based on the integration of Optical Satellite Stereo Imagery (OSSI) and spaceborne laser altimeter data. Firstly, we elaborate the principle and necessity of this work through a literature review of existing methods. Then, the framework of our geo-positioning models. Secondly, four key technologies of the proposed model are expounded in order, including the acquisition and management of global Laser Control Points, the association of LCPs and OSSI, the block adjustment model combining LCPs with OSSI, and the accuracy estimation and quality control of the combined BA. Next, the combined BA experiment using Ziyuan-3 (ZY-3) OSSI and ICESat-2 laser data was carried out at the testing site in Shandong Province, China. Experimental results prove that our method can automatically select LCPs with high accuracy. The elevation deviation of the combined BA eventually achieved the Mean Error (ME) of 0.06 m and the Root Mean Square Error (RMSE) of 1.18 m, much lower than the ME of 13.20 m and the RMSE of 3.88 m before the block adjustment. A further research direction will be how to perform more adequate accuracy analysis and quality control using massive laser points as checkpoints.
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