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个人信息Personal Information
副教授
教师英文名称：Chen
教师拼音名称：Wang Chen
所在单位：海洋科学学院
学历：博士研究生毕业
办公地点：文德楼S311
性别：男
联系方式：cwang@nuist.edu.cn
学位：理学博士学位
职称：副教授
在职信息：在岗
毕业院校：法国 IMT Atlantique/Ifremer
个人简介Personal Profile
教育背景：
2009.09—2013.06 中国地质大学，遥感科学与技术，本科
2013.09—2016.06 中国海洋大学，摄影测量与遥感，硕士
2016.10—2020.07 法国海洋开发研究院 (Ifremer)，物理海洋与环境，博士
工作经历：
2020.11—至今 南京信息工程大学，副教授
研究方向：
微波海洋遥感；合成孔径雷达（SAR）；海洋大气边界层；海洋大数据与机器学习
数据集：
[2] C. Wang et al., "A multi-tagged Sentinel-1 wave mode SAR image dataset near Barbados (MulTags-SARwv)", SEA scieNtific Open data Edition (SEANOE), 2023, doi: 10.17882/9394.
[1] C. Wang* et al., “Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv)”, SEA scieNtific Open data Edition (SEANOE), 2018, doi: 10.17882/56796.
期刊论文：
[14] C. Chen, C. Wang*, H. Li, D. Hu, G. Li, X, Chen and Y. He, “Detection and characteristics analysis of the western subarctic front using the high-resolution SST product,” Acta Oceanologica Sinica, vol. 42, no. 6, pp. 24–32, Jun. 2023.
[13] Z. Dai, H. Li, D. Liu, C. Wang, L. Shi, and Y. He, “SAR Observation of Waves under Ice in the Marginal Ice Zone,” Journal of Marine Science and Engineering, vol. 10, no. 12, p. 1836, Nov. 2022.
[12] Z. Dai, H. Li, C. Wang, and Y. He, “Backscattering Statistics of Labeled Sentinel-1 Wave Mode Imagettes for Ten Geophysical Phenomena,” Journal of Marine Science and Engineering, vol. 10, no. 11, p. 1594, Oct. 2022.
[11] X. Chen, C. Wang*, H. Li, D. Hu, C. Chen, and Y. He, “Impact of ocean fronts on the reconstruction of vertical temperature profiles from sea surface measurements,” Deep Sea Research Part I: Oceanographic Research Papers, vol. 187, p. 103833, Sep. 2022.
[10] X. Chen, C. Wang*, H. Li, and Y. He, “Improving the Reconstruction of Vertical Temperature Profiles on Account of Oceanic Front Impacts,” Remote Sensing, vol. 14, no. 19, p. 4821, Sep. 2022.
[9] J. E. Stopa, C. Wang*, D. Vandemark, R. Foster, A. Mouche, and B. Chapron, “Automated Global Classification of Surface Layer Stratification Using High‐Resolution Sea Surface Roughness Measurements by Satellite Synthetic Aperture Radar,” Geophysical Research Letters, vol. 49, no. 12, Jun. 2022.
[8] X. Huang, B. Zhang, W. Perrie, Y. Lu, and C. Wang, “A novel deep learning method for marine oil spill detection from satellite synthetic aperture radar imagery,” Marine Pollution Bulletin, vol. 179, p. 113666, Jun. 2022.
[7] S. Fan, B. Zhang, W. Perrie, A. Mouche, G. Liu, H. LI, C. Wang and Y. He, “Observed Ocean Surface Winds and Mixed Layer Currents Under Tropical Cyclones: Asymmetric Characteristics,” Journal of Geophysical Research: Oceans, vol. 127, no. 2, Feb. 2022.
[6] C. Wang*, D. Vandemark, A. Mouche, B. Chapron, H. Li, and R. C. Foster, “An assessment of marine atmospheric boundary layer roll detection using Sentinel-1 SAR data,” Remote Sens. Environ., vol. 250, p. 112031, Dec. 2020, doi: 10.1016/j.rse.2020.112031.
[5] C. Wang* et al., “Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies,” Remote Sens. Environ., vol. 234, p. 111457, Dec. 2019, doi: 10.1016/j.rse.2019.111457.
[4] C. Wang* et al., “A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode,” Geosci. Data J., vol. 6, no. 2, pp. 105–115, Nov. 2019, doi: 10.1002/gdj3.73.
[3] S. Song, C. Zhao, W. An, X. Li, and C. Wang, “Analysis of impacting factors on polarimetric SAR oil spill detection,” Acta Oceanol. Sin., vol. 37, no. 11, pp. 77–87, Nov. 2018, doi: 10.1007/s13131-018-1335-9.
[2] C. Wang, C. Zhao*, K. Zeng, and Y. Wang, “Analysis of scattering mechanisms over sea oil slicks based on eigenvalues of simplified coherence matrix,” J. Appl. Remote Sens., vol. 9, no. 1, p. 95974, 2015, doi: 10.1117/1.JRS.9.095974.
[1] 王臣, 刘朋*, 赵朝方, 和 崔文连, “高分一号在青岛输油管道海面溢油监测中的应用,” 海洋湖沼通报, no. 04, pp. 174–179, 2014.
会议论文：
[2] C. Wang* et al., “Characteristics of Marine Atmospheric Boundary Layer Roll Vortices from Sentinel-1 Sar Wave Mode,” in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul. 2019, pp. 7908–7911, doi: 10.1109/IGARSS.2019.8900287.
[1] C. Wang* et al., “Automated Geophysical Classification of Sentinel-1 Wave Mode SAR Images Through Deep-Learning,” in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Jul. 2018, pp. 1776–1779, doi: 10.1109/IGARSS.2018.8518354.