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Meteorological correction model of IBIS-L System in the Slope Deformation Monitoring


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Abstract

Micro deformation monitoring system (IBIS-L) using high frequency microwave as signal for transmission, is easily affected by meteorology. How to eliminate the meteorological influence effectively, and extract useful information from the big data becomes a key to monitor the slope deformation with high precision by the IBIS-L system. Evaluation of the optimum meteorological correction mode for Slope Deformation Monitoring to ensure the accuracy of measurement is considered. This objective was realized by model construction technology, which uses calculation formula of Microwave Refraction rate, and the radial distance from the target point to the IBIS-L system to estimate the irreal displacement by meteorological influence. In this paper we examine feasibility and accuracy of the meteorological correction model via experiment analysis. This experiment takes the Nuozhadu hydropower station slope monitoring for example. Firstly, the temperature, humidity, air pressure and other meteorological parameters were measured simultaneously with IBIS-L system monitoring. Secondly, the measured meteorological parameters were taken into calculation formula of Microwave Refraction rate. Thirdly, combined with the radial distance from the target point to the IBIS-L system, the meteorological correction model in using IBIS-L system for slope deformation monitoring was established.


Keywords


Pages

Total Pages: 8
Pages: 47-54

DOI
10.1080/10798587.2016.1267240


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Published

Volume: 24
Issue: 1
Year: 2018

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References

Crouse, M.S., R.D. Nowak, and R.G. Baraniuk. "Wavelet-Based Statistical Signal Processing Using Hidden Markov Models." IEEE Transactions on Signal Processing 46.4 (1998): 886-902. Crossref. Web. https://doi.org/10.1109/78.668544

Deepika H. IAENG International Journal of Computer Science

Weihua, Fang, and Xu Lanyu. "Multi-Scale Model Of Dam Safety Condition Monitoring Based On Dynamic Bayesian Networks." Intelligent Automation & Soft Computing 18.7 (2012): 909-921. Crossref. Web. https://doi.org/10.1080/10798587.2012.10643298

Fukuda, S., and H. Hirosawa. "A Wavelet-Based Texture Feature Set Applied to Classification of Multifrequency Polarimetric SAR Images." IEEE Transactions on Geoscience and Remote Sensing 37.5 (1999): 2282-2286. Crossref. Web. https://doi.org/10.1109/36.789624

Seddik, Hassene, Sondes Tebbini, and Ezzeddine Ben Braiek. "Smart Real Time Adaptive Gaussian Filter Supervised Neural Network for Efficient Gray Scale and RGB Image De-Noising." Intelligent Automation & Soft Computing 20.3 (2014): 347-364. Crossref. Web. https://doi.org/10.1080/10798587.2014.888242

He, XiuFeng et al. "Integration of InSAR and GPS for Hydraulic Engineering." Science in China Series E: Technological Sciences 50.S1 (2007): 111-124. Crossref. Web. https://doi.org/10.1007/s11431-007-6009-3

Hua Y.F. Journal of Southeast University (Natural Science Edition)

Iannini, L., and A. Monti Guarnieri. "Atmospheric Phase Screen in Ground-Based Radar: Statistics and Compensation." IEEE Geoscience and Remote Sensing Letters 8.3 (2011): 537-541. Crossref. Web. https://doi.org/10.1109/LGRS.2010.2090647

International Union of Geodesy and Geophysics Comptes rendus de la XIIIe Assemblée Générale de l

Li, Zhenhong et al. "Interferometric Synthetic Aperture Radar Atmospheric Correction: Medium Resolution Imaging Spectrometer and Advanced Synthetic Aperture Radar Integration." Geophysical Research Letters 33.6 (2006): n. pag. Crossref. Web. https://doi.org/10.1029/2005GL025299

Noferini, Linhsia et al. "Monitoring of Belvedere Glacier Using a Wide Angle GB-SAR Interferometer." Journal of Applied Geophysics 68.2 (2009): 289-293. Crossref. Web. https://doi.org/10.1016/j.jappgeo.2009.02.004

Liu G.X. Mapping of earth deformation with satellite SAR interferometry: A study of its accuracy and reliability performance [D]

Luzi, Guido et al. "Using a Ground-Based SAR Interferometer and a Terrestrial Laser Scanner to Monitor a Snow-Covered Slope: Results From an Experimental Data Collection in Tyrol (Austria)." IEEE Transactions on Geoscience and Remote Sensing 47.2 (2009): 382-393. Crossref. Web. https://doi.org/10.1109/TGRS.2008.2009994

Richards J.A. Ph.D. dissertation, Dept. Electron. Eng. Comput. Sci.,MIT

Rödelsperger, Sabine et al. "Digital Elevation Model with the Ground-Based SAR IBIS-L as Basis for Volcanic Deformation Monitoring." Journal of Geodynamics 49.3-4 (2010): 241-246. Crossref. Web. https://doi.org/10.1016/j.jog.2009.10.009

Satoshi H. IAENG International Journal of Computer Science

Sureerat A. IAENG International Journal of Applied Mathematics 46.1 (2016)

World Meteorological Organization (1966). General meteorological standards and recommended practices. Appendix A. WMO Technical Regulations, WMO-No. 49.

Xu Y.M. Journal of Geodesy and Geodynamics

Zebker, H.A. et al. "Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar." IEEE Transactions on Geoscience and Remote Sensing 32.4 (1994): 823-836. Crossref. Web. https://doi.org/10.1109/36.298010

Zhang X. Radar Science and Technology

Zhang, Zhen, Xin Wang, and Lizhong Xu. "Target Detection In Sar Images Based On Sub-Aperture Coherence And Phase Congruency." Intelligent Automation & Soft Computing 18.7 (2012): 831-843. Crossref. Web. https://doi.org/10.1080/10798587.2012.10643292

Zou, Tengfei et al. "An Effective Collaborative Filtering Via Enhanced Similarity and Probability Interval Prediction." Intelligent Automation & Soft Computing 20.4 (2014): 555-566. Crossref. Web. https://doi.org/10.1080/10798587.2014.934598

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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