Correcting flawed orbits with significant along-track offset in LOLA data to remove apparent noise in DEM

IF 3.9 2区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS Journal of Geodesy Pub Date : 2024-03-16 DOI:10.1007/s00190-024-01827-4

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Abstract

The lunar orbiter laser altimeter (LOLA) onboard the lunar reconnaissance orbiter has performed high-precision, full-coverage, and high-density laser ranging observations for the entire lunar surface since its launch. Statistics have shown that LOLA has collected 6.94 billion effective altimeter data up to June 2022. Most of the typical orbits in the LOLA dataset have a high quality and exhibit horizontal offsets of almost 7 m and radial offsets of almost 0.5 m. However, there is still a category of orbits in the dataset that will cause apparent noise in the constructed DEM, which is attributed to the orbits with large or anomalous errors. We call such orbits as flawed orbits in this paper. The flawed orbits can be identified and screened by the elevation discrepancy at the crossovers of the orbits. The results show that the flawed orbits are caused by significant along-track errors, which also result in the radial error of up to several kilometers. Moreover, most of the flawed orbits are concentrated in several consecutive time intervals. A correction method is then proposed to correct the flawed orbits in the local region. The position of the flawed orbits is reconstructed using the feature points matching of the DEMs before and after they are removed. Some experimental analyzes show that the apparent terrain artifacts have been eliminated and more identifiable terrain details are reappeared. Identifying and correcting these flawed orbits with significant along-track offsets paves the way for improving the quality of the LOLA data and reconstructing the topography of the Moon.

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修正 LOLA 数据中沿轨道偏移较大的有缺陷轨道，消除 DEM 中的明显噪声

摘要月球勘测轨道飞行器上的月球轨道激光高度计（LOLA）自发射以来对整个月球表面进行了高精度、全覆盖和高密度的激光测距观测。据统计，截至 2022 年 6 月，LOLA 已收集了 69.4 亿个有效高度计数据。LOLA 数据集中的大多数典型轨道质量较高，水平偏移量接近 7 米，径向偏移量接近 0.5 米。然而，数据集中仍有一类轨道会在构建的 DEM 中产生明显的噪声，这主要归因于存在较大或异常误差的轨道。本文将这类轨道称为有缺陷轨道。有缺陷的轨道可以通过轨道交叉点的高程差异来识别和筛选。结果表明，有缺陷的轨道是由显著的沿轨误差造成的，这也导致了高达几千米的径向误差。此外，大多数有缺陷的轨道集中在几个连续的时间间隔内。因此提出了一种校正方法来校正局部区域的有缺陷轨道。利用剔除缺陷轨道前后 DEM 的特征点匹配重建缺陷轨道的位置。一些实验分析表明，明显的地形伪影已被消除，更多可识别的地形细节重新出现。识别和修正这些具有明显沿轨偏移的有缺陷轨道，为提高 LOLA 数据的质量和重建月球地形铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Geodesy 地学-地球化学与地球物理

CiteScore

8.60

自引率

9.10%

发文量

审稿时长

9 months

期刊介绍： The Journal of Geodesy is an international journal concerned with the study of scientific problems of geodesy and related interdisciplinary sciences. Peer-reviewed papers are published on theoretical or modeling studies, and on results of experiments and interpretations. Besides original research papers, the journal includes commissioned review papers on topical subjects and special issues arising from chosen scientific symposia or workshops. The journal covers the whole range of geodetic science and reports on theoretical and applied studies in research areas such as: -Positioning -Reference frame -Geodetic networks -Modeling and quality control -Space geodesy -Remote sensing -Gravity fields -Geodynamics