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李静
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( 教授 )
赞
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的个人主页 https://teachers.jlu.edu.cn/LJ129/zh_CN/index.htm
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教授
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性别 :
男
毕业院校 :
吉林大学
学历 :
博士研究生毕业
学位 :
博士
在职信息 :
在职
所在单位 :
地球探测科学与技术学院
学科 :
地球探测与信息技术
办公地点 :
长春市朝阳区西民主大街6号
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论文成果
[1] Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization. Computers & Geosciences
[2] Quantitatively Monitoring of Seasonal Frozen Ground Freeze–Thaw Cycle Using Ambient Seismic Noise Data. Seismological Research Letters
[3] 季节性冻土冻融过程的多参数地球物理监测研究. 地球物理学报
[4] Seasonal frozen soil electrical resistivity estimation based on capillary fractal model. Water Resources Research
[5] A ground penetrating radar data processing and analysis software based on MATLAB. SoftwareX
[6] Multi-scale ground penetrating radar full waveform inversion with hybrid Tikhonov and total-variation regularization for different geometric structure. Journal of Inverse and Ill-posed Problems
[7] A Ground-Penetrating Radar Data Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing
[8] Multi-Region Full Waveform Inversion for Ground Penetrating Radar Common-offset Data. Geophysics
[9] Catenary Clutter Elimination Network for Railway Tunnel Ground Penetrating Radar Data. IEEE Transactions on Geoscience and Remote Sensing
[10] Multi-Phase Evolution and Composition Variations of Volcanic Activities on the Lunar Farside Revealed by Chang'e-4 Lunar Penetrating Radar. Journal of Geophysical Research: Planets
[11] Inversion of multimodal dispersion curves from distributed acoustic sensing measurements for subsurface imaging: A field case of Garner Valley, California. Journal of Applied Geophysics
[12] 分布式声波传感数据去噪方法及应用研究进展. 地球物理学进展
[13] Three-Dimensional Urban Subsurface Space Tomography with Dense Ambient Noise Seismic Array. Surveys in Geophysics
[14] Joint wave-equation inversion of Rayleigh and Love dispersion curves. Geophysics
[15] Integrating Elastic Neural Network Seismic Waveform With Petrophysical Inversion Framework for Critical Zone Properties Estimation. IEEE Transactions on Geoscience and Remote Sensing
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