A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN
文献类型：期刊论文
| 作者 | Yang, Fei3 ; Guo, Jiming1; Zhang, Chaoyang4; Li, Yitao2; Li, Jun3
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 13期号:5页码:18 |
| 关键词 | zenith tropospheric delay GPT3 model artificial neural network GNSS |
| DOI | 10.3390/rs13050838 |
| 通讯作者 | Yang, Fei(yangfei@cumtb.edu.cn) |
| 英文摘要 | The delays of radio signals transmitted by global navigation satellite system (GNSS) satellites and induced by neutral atmosphere, which are usually represented by zenith tropospheric delay (ZTD), are required as critical information both for GNSS positioning and navigation and GNSS meteorology. Establishing a stable and reliable ZTD model is one of the interests in GNSS research. In this study, we proposed a regional ZTD model that makes full use of the ZTD calculated from regional GNSS data and the corresponding ZTD estimated by global pressure and temperature 3 (GPT3) model, adopting the artificial neutral network (ANN) to construct the correlation between ZTD derived from GPT3 and GNSS observations. The experiments in Hong Kong using Satellite Positioning Reference Station Network (SatRet) were conducted and three statistical values, i.e., bias, root mean square error (RMSE), and compound relative error (CRE) were adopted for our comparisons. Numerical results showed that the proposed model outperformed the parameter ZTD model (Saastamoinen model) and the empirical ZTD model (GPT3 model), with an approximately 56%/52% and 52%/37% RMSE improvement in the internal and external accuracy verification, respectively. Moreover, the proposed method effectively improved the systematic deviation of GPT3 model and achieved better ZTD estimation in both rainy and rainless conditions. |
| 资助项目 | State Key Laboratory of Resources and Environmental Information System ; Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University[19-02-08] ; Guangxi Key Laboratory of Spatial Information and Geomatics[19-050-11-01] ; Comprehensive Remote Sensing Identification and Investigation of Geological Hazards in the Three Gorges Reservoir Area, Ministry of Natural Resources of the People's Republic of China[0733-20180876/3] ; Yueqi Young Scholars Program of China University of Mining and Technology at Beijing |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000628492700001 |
| 出版者 | MDPI |
| 资助机构 | State Key Laboratory of Resources and Environmental Information System ; Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University ; Guangxi Key Laboratory of Spatial Information and Geomatics ; Comprehensive Remote Sensing Identification and Investigation of Geological Hazards in the Three Gorges Reservoir Area, Ministry of Natural Resources of the People's Republic of China ; Yueqi Young Scholars Program of China University of Mining and Technology at Beijing |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162088]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Fei |
| 作者单位 | 1.Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China 2.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China 4.Ohio State Univ, Sch Earth Sci, Columbus, OH 43210 USA |
| 推荐引用方式 GB/T 7714 | Yang, Fei,Guo, Jiming,Zhang, Chaoyang,et al. A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN[J]. REMOTE SENSING,2021,13(5):18. |
| APA | Yang, Fei,Guo, Jiming,Zhang, Chaoyang,Li, Yitao,&Li, Jun.(2021).A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN.REMOTE SENSING,13(5),18. |
| MLA | Yang, Fei,et al."A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN".REMOTE SENSING 13.5(2021):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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