电离层局部格网降分辨率层析方法

doi:10.11947/j.AGCS.2020.20190227

测绘学报 ›› 2020, Vol. 49 ›› Issue (7): 843-853.doi: 10.11947/j.AGCS.2020.20190227

电离层局部格网降分辨率层析方法

王文越¹, 余接情^1,2, 王颖¹, 贾忱祎¹, 吴立新³, 张绍良^1,2

1. 中国矿业大学环境与测绘学院, 江苏徐州 221116;
2. 中国矿业大学国土环境与灾害监测国家测绘地理信息局重点实验室, 江苏徐州 221116;
3. 中南大学地球科学与信息物理学院, 湖南长沙 410083

收稿日期:2019-06-12 修回日期:2020-02-10 发布日期:2020-07-14
通讯作者: 余接情 E-mail:yujieqing@cumt.edu.cn
作者简介:王文越(1987-),女,硕士生,研究方向为GNSS电离层层析。E-mail:wangwenyue@cumt.edu.cn
基金资助:
国家重点研发计划（2018YFB0505304）；国家自然科学基金（41771416）；中国博士后科学基金（2017M611949）

Ionospheric tomography method by reducing grid resolution locally

WANG Wenyue¹, YU Jieqing^1,2, WANG Ying¹, JIA Chenyi¹, WU Lixin³, ZHANG Shaoliang^1,2

1. Shool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;
2. NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China;
3. School of Geosciences and Info-Physics, Central South University, Changsha 410083, Chinat

Received:2019-06-12 Revised:2020-02-10 Published:2020-07-14
Supported by:
The National Key Research and Development Project (No. 2018YFB0505304);The National Natural Science Foundation of China (No. 41771416);The China Postdoctoral Science Foundation (No. 2017M611949)

摘要/Abstract

摘要： 网格划分是电离层层析的重要一环，也是影响层析精度的重要因素之一。然而，现有研究更多地关注如何通过反演算法及模型来提高精度，较少关注格网划分这一手段。本文拟从格网划分这一角度来对电离层层析方法进行优化。先利用若干试验研究了格网分辨率与层像精度的关系，然后在此结论基础上提出了一种通过降低非感兴趣区域格网分辨率来提高感兴趣区域层像精度的方法。为验证新方法的可行性，分别开展了两个不同的层析试验。两个试验同时表明：相对传统的格网划分方法，本文方法在均方根误差、平均绝对误差、68%及95%百分位、标准差等多个精度指标上均存在不少的优势。根据本文试验，利用本文方法均方根误差及平均绝对误差可望减少15%至40%。

关键词: 电离层层析, 格网划分, 电离层成像, 格网分辨率

Abstract: The construction of the voxel model is an important part of computer ionospheric tomography (CIT) method. It will no doubt affect the accuracy of the CIT method. However, most existing researches focus on how to improve the image’s accuracy via inversion algorithm and few of them are concerned with the grid construction solution. This paper intends to improve accuracy by making some optimization on the voxel model. Some preliminary experiments were first carried out to explore the relationship between the accuracy of the image and its corresponding resolution. Then, based on the findings, a new CIT method, which is to improve the accuracy of the tomographic image of the interesting area at the price of reducing the resolution of the non-interesting area, was proposed. After that, some further experiments were taken to validate the new method. After comparing various accuracy indicators, such as root mean square error (RMSE), absolute mean error (MAE), 68% percentile, 95% percentile and stand deviation, the new method is showed to be better than the one that is not using the method proposed in this paper. According to our experiments, the new method is able to decrease RMSE/MAE of the tomographic image by 15% to 40%.

Key words: ionospheric tomography, voxel model construction, ionospheric imaging, grid resolution

中图分类号:

P228

王文越, 余接情, 王颖, 贾忱祎, 吴立新, 张绍良. 电离层局部格网降分辨率层析方法[J]. 测绘学报, 2020, 49(7): 843-853.

WANG Wenyue, YU Jieqing, WANG Ying, JIA Chenyi, WU Lixin, ZHANG Shaoliang. Ionospheric tomography method by reducing grid resolution locally[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(7): 843-853.

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电离层局部格网降分辨率层析方法

Ionospheric tomography method by reducing grid resolution locally

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