师资力量

孙剑

个人简介:

       孙剑,2009年本科毕业于山东科技大学地球物理学专业,2013年获得中国地质大学(北京)地球探测与信息技术博士学位,2018年获得加拿大卡尔加里大学地质学与地球物理学博士学位;2018-2019年任职于加拿大卡尔加里大学,博士后;2019-2021年任职于美国宾西法尼亚州立大学,博士后;2021年至今任职于中国海洋大学,副教授。


研究方向及成果:

       研究领域主要集中在人工智能与地球科学大数据、地球物理勘探、海洋地球物理学三个方面,近期的科研兴趣有:1)物理驱动的深度学习波场模拟、介质成像与反演;2)深度学习噪音压制与有效信号提取;3)逆散射理论与层间多次波压制;4)海洋甚低频地震信号传播理论与成像。

      近五年在SPRS Journal of Photogrammetry and Remote SensingJournal of Geophysical Research: Solid EarthGeophysics等国际知名期刊和国际会议发表20余篇论文。在ISPRS Journal of Photogrammetry and Remote SensingIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Antennas & PropagationGeophysicsIEEE Geoscience and Remote Sensing LettersGeophysical ProspectingExploration GeophysicsPure and Applied GeophysicsMarine Geophysical ResearchStudia Geophysica et Geodaetica等二十余个知名国际SCI期刊审稿人。任国际地球物理学会(SEG)、加拿大地球物理学会(CSEG)、美国地球物理学会(AGU)、欧洲地质学家与工程师学会(EAGE)会员。



代表性论著:

5年代表性期刊论文:

[1]. Jian Sun, Fangcao Xu, Guido Cervone, Melissa Gervais, Christelle Wauthier, and Mark Salvador, 2021. Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 174, 117-131. (IF:8.979)

[2]. Jian Sun, Christelle Wauthier, Kirsten Stephens, Melissa Gervais, Guido Cervone, Peter C La Femina, and Machel Higgins, 2020. Automatic detection of volcanic surface deformation using deep learning. Journal of Geophysical Research: Solid Earth, 125, e2020JB019840. (IF: 3.848)

[3]. Jian Sun, Kristopher A. Innanen, and Chao Huang, 2021. Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis, Geophysics, 86(3), pp. R303-R317. (IF: 2.928)

[4]. Jian Sun, Zhan Niu, Kristopher A. Innanen, Junxiao Li, and Daniel Trad, 2020. A theory-guided deep learning formulation and optimization of seismic waveform inversion. Geophysics, 85(2), pp. R87-R99. (IF: 2.928)

[5]. Jian Sun and Kristopher A. Innanen, 2019. A plane-wave formulation and numerical analysis of elastic multicomponent inverse scattering series internal multiple prediction. Geophysics, 84(5), pp. V255-V269. (IF: 2.928)

[6]. Jian Sun and Kristopher A. Innanen, 2018. Multidimensional inverse-scattering series internal multiple prediction in the coupled plane-wave domain. Geophysics, 83(2), pp. V73-V82. (IF: 2.928)

5年代表性国际会议论文:

[1]. Tianze Zhang, Jian Sun, Kristopher Innanen, and Daniel Trad, 2021, A recurrent neural network for ℓ1 anisotropic viscoelastic full waveform inversion with high-order total variation regularization: 91st Annual International Meeting, SEG, Expanded Abstracts.

[2]. Jian Sun, Fangcao Xu, Guido Cervone, Melissa, Gervais, Christelle, Wauthier, and Mark Salvador, 2020. Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network. 101th AGU Annual Meeting.

[3]. Tianze Zhang, Kristopher A. Innanen, Jian Sun, and Daniel O. Trad, 2020. Numerical analysis of a deep learning formulation of multi-parameter elastic full waveform inversion. SEG Technical Program Expanded Abstracts: 1531-1535.

[4]. Jian Sun, Christelle Wauthier, Kirsten Stephens, Melissa Gervais, Guido Cervone, Peter C La Femina, Machel Higgins, 2019, Deep Learning Application on Volcanic Deformation Detection and Blind Source Separation in InSAR Data. 100th AGU Annual Meeting.

[5]. Jian Sun, Zhan Niu, Kristopher A. Innanen, Junxiao Li, Daniel Trad, 2019. A theory guided deep learning formation of seismic waveform inversion. SEG Technical Program Expanded Abstracts, 2343–2347.

[6]. Jian Sun, Zhan Niu, Kristopher A. Innanen, Junxiao Li, Daniel Trad, 2019, A deep learning perspective of the forward and inverse problem in exploration geophysics. CSEG Expanded Abstracts.

[7]. Zhan Niu, Jian Sun, Daniel Trad, 2019. Inversion with the Born approximation in a deep learning framework. CSEG Expanded Abstracts.

[8]. Kristopher A. Innanen, Jian Sun, Andy Iverson, 2018. Making Acoustic and Elastic Internal Multiple Prediction Work Efficiently and without Artifacts. EAGE Expanded Abstracts, doi: 10.3997/2214-4609.201801963.

[9]. Jian Sun, Kristopher A. Innanen, Daniel Trad, and Yu Geng, 2018. Multicomponent inverse scattering series internal multiple prediction part I: analysis of input preparation. CSEG Expanded Abstracts.

[10]. Jian Sun, Kristopher A. Innanen, Daniel Trad, and Yu Geng, 2018. Multicomponent inverse scattering series internal multiple prediction part II: domains and implementations. CSEG Expanded Abstracts.

[11]. Jian Sun and Kristopher A. Innanen, 2017. Multicomponent inverse scattering series internal multiple prediction in the tau-p domain. SEG Technical Program Expanded Abstracts, 2491-2496.

[12]. Jian Sun, Kristopher A. Innanen, 2017. Literature review and discussion of inverse scattering series on internal multiple prediction. CSEG Expanded Abstracts.

[13]. Jian Sun and Kristopher A. Innanen, 2016. Inverse scattering series internal multiple prediction in the double plane wave domain. SEG Technical Program Expanded Abstracts, 4555-4560.

[14]. Jian Sun, Kristopher A. Innanen, 2016. Extension of internal multiple prediction from 1.5D to 2D in the double plane-wave domain. CSEG Expanded Abstracts.

[15]. Scott Keating, Jian Sun, Pan Pan, Kristopher A. Innanen, 2016. Nonstationary L1 adaptive subtrraction with application to internal multiple attenuation. CSEG Expanded Abstracts.