GNSS-TS-NRS: An Open-Source MATLAB-Based GNSS Time Series Noise Reduction Software
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| Gepubliceerd in: | Remote Sensing vol. 12, no. 21 (2020), p. 3532 |
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| Andere auteurs: | , , , , , , , |
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| Online toegang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 2550344346 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs12213532 |2 doi | |
| 035 | |a 2550344346 | ||
| 045 | 2 | |b d20200101 |b d20201231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a He, Xiaoxing |u School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China; <email>hexiaoxing@whu.edu.cn</email> | |
| 245 | 1 | |a GNSS-TS-NRS: An Open-Source MATLAB-Based GNSS Time Series Noise Reduction Software | |
| 260 | |b MDPI AG |c 2020 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The global navigation satellite system (GNSS) has seen tremendous advances in measurement precision and accuracy, and it allows researchers to perform geodynamics and geophysics studies through the analysis of GNSS time series. Moreover, GNSS time series not only contain geophysical signals, but also unmodeled errors and other nuisance parameters, which affect the performance in the estimation of site coordinates and related parameters. As the number of globally distributed GNSS reference stations increases, GNSS time series analysis software should be developed with more flexible format support, better human–machine interaction, and with powerful noise reduction analysis. To meet this requirement, a new software named GNSS time series noise reduction software (GNSS-TS-NRS) was written in MATLAB and was developed. GNSS-TS-NRS allows users to perform noise reduction analysis and spatial filtering on common mode errors and to visualize GNSS position time series. The functions’ related theoretical background of GNSS-TS-NRS were introduced. Firstly, we showed the theoretical background algorithms of the noise reduction analysis (empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD)). We also developed three improved algorithms based on EMD for noise reduction, and the results of the test example showed our proposed methods with better effect. Secondly, the spatial filtering model supported five algorithms on a separate common model error: The stacking filter method, weighted stacking filter method, correlation weighted superposition filtering method, distance weighted filtering method, and principal component analysis, as well as with batch processing. Finally, the developed software also enabled other functions, including outlier detection, correlation coefficient calculation, spectrum analysis, and distribution estimation. The main goal of the manuscript is to share the software with the scientific community to introduce new users to the GNSS time series noise reduction and application. | |
| 653 | |a Mean square errors | ||
| 653 | |a Outliers (statistics) | ||
| 653 | |a Spatial analysis | ||
| 653 | |a Accuracy | ||
| 653 | |a Software packages | ||
| 653 | |a Spatial filtering | ||
| 653 | |a Noise reduction | ||
| 653 | |a Algorithms | ||
| 653 | |a Software | ||
| 653 | |a Matlab | ||
| 653 | |a Geophysics | ||
| 653 | |a Signal processing | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a Decomposition | ||
| 653 | |a Computer simulation | ||
| 653 | |a Geodynamics | ||
| 653 | |a Empirical analysis | ||
| 653 | |a Time series | ||
| 653 | |a Correlation coefficients | ||
| 653 | |a Correlation coefficient | ||
| 653 | |a Batch processing | ||
| 653 | |a Global positioning systems--GPS | ||
| 653 | |a Data analysis | ||
| 653 | |a Background noise | ||
| 653 | |a Seasonal variations | ||
| 653 | |a Computer programs | ||
| 653 | |a Principal components analysis | ||
| 653 | |a Signal to noise ratio | ||
| 653 | |a Earthquakes | ||
| 653 | |a Stacking | ||
| 653 | |a Parameters | ||
| 653 | |a Interfaces | ||
| 653 | |a Global navigation satellite system | ||
| 653 | |a Open source software | ||
| 653 | |a Remote sensing | ||
| 700 | 1 | |a Yu, Kegen |u School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; <email>kgyu@sgg.whu.edu.cn</email> | |
| 700 | 1 | |a Jean-Philippe Montillet |u Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC), CH-7260 Davos, Switzerland; <email>jean-philippe.montillet@pmodwrc.ch</email> | |
| 700 | 1 | |a Xiong, Changliang |u School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China; <email>hexiaoxing@whu.edu.cn</email>; Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Science (CAS), Wuhan 430077, China | |
| 700 | 1 | |a Lu, Tieding |u School of Geodesy and Geomatics, East China University of Technology, Nanchang 330013, China; <email>tdlu@whu.edu.cn</email> (T.L.); <email>shjzhou@nchu.edu.cn</email> (S.Z.) | |
| 700 | 1 | |a Zhou, Shijian |u School of Geodesy and Geomatics, East China University of Technology, Nanchang 330013, China; <email>tdlu@whu.edu.cn</email> (T.L.); <email>shjzhou@nchu.edu.cn</email> (S.Z.); Nanchang Hangkong University, Nanchang 330063, China | |
| 700 | 1 | |a Ma, Xiaping |u School of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China; <email>xpmaxkd16@xust.edu.cn</email> | |
| 700 | 1 | |a Cui, Hongchao |u Hubei Land Resources Vocational College, Wuhan 430090, China; <email>hccui@ecut.edu.cn</email> | |
| 700 | 1 | |a Feng, Ming |u Xi’an Research Institute of Surveying and Mapping, Xi’an 710054, China; <email>mf_pla@hotmail.com</email> | |
| 773 | 0 | |t Remote Sensing |g vol. 12, no. 21 (2020), p. 3532 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2550344346/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/2550344346/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2550344346/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |