基本信息
李晓峰 男 博导 中国科学院海洋研究所
电子邮件： lixf@qdio.ac.cn
通信地址： 青岛市市南区南海路7号
邮政编码：
电子邮件： lixf@qdio.ac.cn
通信地址： 青岛市市南区南海路7号
邮政编码：
研究领域
Ocean Remote Sensing （海洋遥感）Satellite Oceanography （卫星海洋学） AI Oceanography（人工智能海洋）学Earth Observation （对地观测）, Synthetic Aperture Radar （合成孔径雷达）, Big Earth Data （地球大数据）, Mechine Learning （机器学习）, Physical Oceanography （物理海洋学）, Air-Sea interaction （海气相互作用）
招生信息
招生专业
070701-物理海洋学
0707Z1-海洋生态学
0707Z1-海洋生态学
招生方向
海洋遥感与数值模拟、预测方法
教育背景
1992-07--1997-02 美国北卡罗莱纳州立大学(North CarolinaState University, US) 研究助理(Research Assistant)/博士
1989-09--1992-07 国家海洋局第一海洋研究所 硕士
1981-09--1985-07 浙江大学 学士
1989-09--1992-07 国家海洋局第一海洋研究所 硕士
1981-09--1985-07 浙江大学 学士
工作经历
工作简历
2019-04~现在, 中国科学院海洋研究所, 中科院大数据中心首席科学家
1997-02~2019-04,美国国家海洋和大气管理局环境卫星数据与信息服务中心(NOAA/NESDIS), 资深研究员(Senior Scientist)
1985-07~1992-07,国家海洋局第一海洋研究所, 研究助理
1997-02~2019-04,美国国家海洋和大气管理局环境卫星数据与信息服务中心(NOAA/NESDIS), 资深研究员(Senior Scientist)
1985-07~1992-07,国家海洋局第一海洋研究所, 研究助理
社会兼职
2017-10-30-2022-12-31,国际 SCI 期刊 Remote Sensing, 海洋遥感部主编
2017-07-29-2022-12-31,国际 SCI 期刊 IEEE TGRS, 副主编
2015-01-01-今,IEEE 地球遥感协会, 华盛顿区副主席
2013-03-01-今,NASA ASF 大数据中心（DAAC）, 工作组专家委员
2012-11-01-今,国际 SCI 期刊 IJRS, 副主编
2017-07-29-2022-12-31,国际 SCI 期刊 IEEE TGRS, 副主编
2015-01-01-今,IEEE 地球遥感协会, 华盛顿区副主席
2013-03-01-今,NASA ASF 大数据中心（DAAC）, 工作组专家委员
2012-11-01-今,国际 SCI 期刊 IJRS, 副主编
专利与奖励
奖励信息
（1） IEEE fellow, 特等奖, 其他, 2020
（2） 《海洋学报》英文版“2017年高被引论文”奖, 一等奖, 部委级, 2018
（3） Publon地球与行星科学前1%审稿人奖, 一等奖, 部委级, 2017
（4） JARS最佳审稿人奖, 一等奖, 部委级, 2016
（5） 美国海洋大气局卫星总署NESDIS年度科研人物奖, 一等奖, 部委级, 2015
（6） 美国海洋大气局NOAA STAR个人科学奖, 一等奖, 部委级, 2015
（7） 美国海洋大气局NOAA STAR集体奖, 一等奖, 部委级, 2015
（8） Len Curtis最佳论文奖 Len Curtis Award - Remote Sensing and Photogrammetry Society, 一等奖, 部委级, 2015
（2） 《海洋学报》英文版“2017年高被引论文”奖, 一等奖, 部委级, 2018
（3） Publon地球与行星科学前1%审稿人奖, 一等奖, 部委级, 2017
（4） JARS最佳审稿人奖, 一等奖, 部委级, 2016
（5） 美国海洋大气局卫星总署NESDIS年度科研人物奖, 一等奖, 部委级, 2015
（6） 美国海洋大气局NOAA STAR个人科学奖, 一等奖, 部委级, 2015
（7） 美国海洋大气局NOAA STAR集体奖, 一等奖, 部委级, 2015
（8） Len Curtis最佳论文奖 Len Curtis Award - Remote Sensing and Photogrammetry Society, 一等奖, 部委级, 2015
专利成果
[1] 任沂斌, 李晓峰, 高乐, 张旭东, 刘颖洁. 基于深度学习的遥感图像舰船尺寸一体化提取方法. CN: CN112102394B, 2021-05-28.
[2] 张旭东, 李晓峰, 高乐, 任沂斌, 刘颖洁. 基于机器学习和遥感数据的海洋内波预报方法. CN: CN112099110B, 2021-06-22.
[3] 张旭东, 李晓峰, 高乐, 刘颖洁, 任沂斌. 一种基于多维海面信息的内波振幅反演方法. CN: CN112113545B, 2021-08-31.
[4] 任沂斌, 李晓峰, 高乐, 刘颖洁, 张旭东. 一种基于深度U-Net模型的遥感图像海冰识别方法. CN: CN112102324B, 2021-06-18.
[5] 刘颖洁, 李晓峰, 高乐, 任沂斌, 张旭东. 基于深度学习和多源遥感数据的海洋异常中尺度涡识别方法. CN: CN112102325B, 2021-11-09.
[2] 张旭东, 李晓峰, 高乐, 任沂斌, 刘颖洁. 基于机器学习和遥感数据的海洋内波预报方法. CN: CN112099110B, 2021-06-22.
[3] 张旭东, 李晓峰, 高乐, 刘颖洁, 任沂斌. 一种基于多维海面信息的内波振幅反演方法. CN: CN112113545B, 2021-08-31.
[4] 任沂斌, 李晓峰, 高乐, 刘颖洁, 张旭东. 一种基于深度U-Net模型的遥感图像海冰识别方法. CN: CN112102324B, 2021-06-18.
[5] 刘颖洁, 李晓峰, 高乐, 任沂斌, 张旭东. 基于深度学习和多源遥感数据的海洋异常中尺度涡识别方法. CN: CN112102325B, 2021-11-09.
出版信息
发表论文
[1] Guo, Yuan, Gao, Le, Li, Xiaofeng. A Deep Learning Model for Green Algae Detection on SAR Images. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2022, 60: http://dx.doi.org/10.1109/TGRS.2022.3215895.
[2] Zhu, Yuchao, Zhang RongHua, James N Moum, Wang, Fan, Li Xiaofeng, Li Delei. Physics-informed Deep Learning Parameterization of Ocean Vertical Mixing Improves Climate Simulation. National Science Review[J]. 2022, 9(8): nwac044-, [3] Zhang, Xudong, Wang, Haoyu, Wang, Shuo, Liu, Yanliang, Yu, Weidong, Wang, Jing, Xu, Qing, Li, Xiaofeng. Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model. REMOTE SENSING OF ENVIRONMENT[J]. 2022, 272: http://dx.doi.org/10.1016/j.rse.2022.112940.
[4] Gao, Le, Li, Xiaofeng, Kong, Fanzhou, Yu, Rencheng, Guo, Yuan, Ren, Yibin. AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2022, 15: 2782-2796, http://dx.doi.org/10.1109/JSTARS.2022.3162387.
[5] Zhang, Xudong, Li, Xiaofeng. Oceanic internal waves generated by the Tongan volcano eruption. ACTA OCEANOLOGICA SINICA[J]. 2022, 41(8): 1-4, [6] Li Xiaofeng. A deep learning model to extract ship size from Sentinel-1 SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2021, [7] Ren Yibin, Li Xiaofeng, Yang, Xiaofeng. Development of a dual-attention U-Net model for sea ice and open water classification on SAR images. IEEE Geoscience and Remote Sensing Letters[J]. 2021, [8] Zhang, Xudong, Li, Xiaofeng. Combination of Satellite Observations and Machine Learning Method for Internal Wave Forecast in the Sulu and Celebes Seas. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 59(4): 2822-2832, http://dx.doi.org/10.1109/TGRS.2020.3008067.
[9] Du, Yanlei, Yang, Xiaofeng, Yang, Jian, Tan, Shurun, Ma, Wentao, Li, Ziwei, Li, Xiaofeng. Effects of Temperature on Sea Surface Radar Backscattering Under Neutral and Nonneutral Atmospheric Conditions for Wind Retrieval Applications: A Numerical Study. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 59(4): 2727-2743, http://dx.doi.org/10.1109/TGRS.2020.3013980.
[10] Bin Zhang, Fuchao Li, Gang Zheng, Yanjun Wang, Zhetao Tan, Xiaofeng Li. Developing big ocean system in support of Sustainable Development Goals:challenges and countermeasures. 地球大数据(英文)[J]. 2021, 5(4): 557-575, http://lib.cqvip.com/Qikan/Article/Detail?id=7106721609.
[11] Wang, Yanjun, Li, Xiaofeng, Song, Jinming, Li, Xuegang, Zhong, Guorong, Zhang, Bin. Carbon Sinks and Variations of pCO(2) in the Southern Ocean From 1998 to 2018 Based on a Deep Learning Approach. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 3495-3503, http://dx.doi.org/10.1109/JSTARS.2021.3066552.
[12] Liu, Hengchang, Zhou, Hui, Yang, Wenlong, Liu, Xueqi, Li, Yao, Yang, Ya, Chen, Xu, Li, Xiaofeng. A three-dimensional gravest empirical mode determined from hydrographic observations in the western equatorial Pacific Ocean. JOURNAL OF MARINE SYSTEMS[J]. 2021, 214: http://dx.doi.org/10.1016/j.jmarsys.2020.103487.
[13] Shen, Dongliang, Li, Xiaofeng, Wang, Jia, Bao, Shaowu, Pietrafesa, Leonard J. Dynamical Ocean Responses to Typhoon Malakas (2016) in the Vicinity of Taiwan. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2021, 126(2): http://dx.doi.org/10.1029/2020JC016663.
[14] Zhang, Xudong, Li, Xiaofeng, Zheng, Quanan. A Machine-Learning Model for Forecasting Internal Wave Propagation in the Andaman Sea. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 3095-3106, http://dx.doi.org/10.1109/JSTARS.2021.3063529.
[15] Li, Xiaofeng, Liu, Bin, Zheng, Gang, Ren, Yibin, Zhang, Shuangshang, Liu, Yingjie, Gao, Le, Liu, Yuhai, Zhang, Bin, Wang, Fan. Deep-learning-based information mining from ocean remote-sensing imagery. NATIONAL SCIENCE REVIEWnull. 2020, 7(10): 1584-1605, https://www.sciengine.com/doi/10.1093/nsr/nwaa047.
[16] Zheng, Gang, Li, Xiaofeng, Zhang, RongHua, Liu, Bin. Purely satellite data-driven deep learning forecast of complicated tropical instability waves. SCIENCE ADVANCES[J]. 2020, 6(29): http://dx.doi.org/10.1126/sciadv.aba1482.
[17] Fang, Sunke, Lin, Jianmin, Ni, Sidao, Li, Xiaofeng, Xu, Xiaoqing, Zheng, Hong, Xu, Wen. Improving seismic remote sensing of typhoon with a three-dimensional Earth model. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA[J]. 2020, 148(2): 478-491, http://dx.doi.org/10.1121/10.0001624.
[18] Song, Dongmei, Zhen, Zongjin, Wang, Bin, Li, Xiaofeng, Gao, Le, Wang, Ning, Xie, Tao, Zhang, Ting. A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery. IEEE ACCESS[J]. 2020, 8: 59801-59820, https://doaj.org/article/cdb804688fbd4611a4edcf1489efacf4.
[19] Zhang Xudong, Li Xiaofeng, Zhang Tao. Characteristics and generations of internal wave in the Sulu Sea inferred from optical satellite images. JOURNALOFOCEANOLOGYANDLIMNOLOGY[J]. 2020, 38(5): 1435-1444, http://lib.cqvip.com/Qikan/Article/Detail?id=7102940536.
[20] 李晓峰, 张彪, 杨晓峰. 星载合成孔径雷达遥感海洋风场波浪场. 雷达学报[J]. 2020, 9(3): 425-443, http://lib.cqvip.com/Qikan/Article/Detail?id=7102168263.
[21] Lu Xiaoqin, Yu Hui, Yang Xiaoming, Li Xiaofeng, Tang Jie. A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery. FRONTIERS OF EARTH SCIENCE[J]. 2019, 13(4): 836-847, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6644249&detailType=1.
[22] Yongcun Cheng, Qing Xu, Le Gao, Xiaofeng Li, Bin Zou, Ting Liu. Sea State Bias Variability in Satellite Altimetry Data. REMOTE SENSING[J]. 2019, 11(10): https://doaj.org/article/785c4a42aa254d2f8bd9abc2a250cb1f.
[23] 魏泽勋, 郑全安, 杨永增, 刘克修, 徐腾飞, 王凡, 胡石建, 谢玲玲, 李元龙, 杜岩, 周磊, 林霄沛, 胡建宇, 朱建荣, 李均益, 张正光, 侯一筠, 刘泽, 田纪伟, 黄晓冬, 管玉平, 刘志宇, 杨庆轩, 赵玮, 宋振亚, 刘海龙, 董昌明, 于卫东, 连涛, 陈朝晖, 史久新, 雷瑞波, 刘煜, 于福江, 尹宝树, 陈戈, 王岩峰, 李整林, 熊学军, 汪嘉宁, 李晓峰, 王永刚. 中国物理海洋学研究70年：发展历程、学术成就概览. 海洋学报[J]. 2019, 41(10): 23-, http://lib.cqvip.com/Qikan/Article/Detail?id=7100103817.
[24] Li Xiaofeng. Tropical Cyclone Boundary Layer Rolls in Synthetic Aperture Radar images. Journal of Geophysical Research: Oceans. 2018, [25] Lu, Yiru, Zhang, Biao, Perrie, William, Mouche, Alexis Aurelien, Li, Xiaofeng, Wang, He. A C-Band Geophysical Model Function for Determining Coastal Wind Speed Using Synthetic Aperture Radar. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2018, 11(7): 2417-2428, http://dx.doi.org/10.1109/JSTARS.2018.2836661.
[26] Wenshuai Chen, Shuiping Gou, Xinlin Wang, Xiaofeng Li, Licheng Jiao. Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach. REMOTE SENSING[J]. 2018, 10(1): https://doaj.org/article/0165a43872124443aed99f63333b1be2.
[27] Jianmin Lin, Yating Wang, Weitao Wang, Xiaofeng Li, Sunke Fang, Chao Chen, Hong Zheng. Seismic Remote Sensing of Super Typhoon Lupit (2009) with Seismological Array Observation in NE China. REMOTE SENSING[J]. 2018, 10(2): https://doaj.org/article/88ee1f7a54a54f7b8a4b66f5e98c79e4.
[28] Xu, Qing, Li, Yizhi, Li, Xiaofeng, Zhang, Zenghai, Cao, Yuenan, Cheng, Yongcun. Impact of Ships and Ocean Fronts on Coastal Sea Surface Wind Measurements From the Advanced Scatterometer. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2018, 11(7): 2162-2169, https://www.webofscience.com/wos/woscc/full-record/WOS:000440035600002.
[29] Xinxin Yue, Biao Zhang, Guoqiang Liu, Xiaofeng Li, Han Zhang, Yijun He. Upper Ocean Response to Typhoon Kalmaegi and Sarika in the South China Sea from Multiple-Satellite Observations and Numerical Simulations. REMOTE SENSING[J]. 2018, 10(2): https://doaj.org/article/f49649b528f2433f89168f51726ec356.
[30] Zheng, Gang, Li, Xiaofeng, Zhou, Lizhang, Yang, Jingsong, Ren, Lin, Chen, Peng, Zhang, Huaguo, Lou, Xiulin. Development of a Gray-Level Co-Occurrence Matrix-Based Texture Orientation Estimation Method and Its Application in Sea Surface Wind Direction Retrieval From SAR Imagery. IEEETRANSACTIONSONGEOSCIENCEANDREMOTESENSING[J]. 2018, 56(9): 5244-5260, https://www.webofscience.com/wos/woscc/full-record/WOS:000443147600023.
[31] Zhang, Guosheng, Li, Xiaofeng, Perrie, William, Hwang, Paul A, Zhang, Biao, Yang, Xiaofeng. A Hurricane Wind Speed Retrieval Model for C-Band RADARSAT-2 Cross-Polarization ScanSAR Images. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2017, 55(8): 4766-4774, https://www.webofscience.com/wos/woscc/full-record/WOS:000406178800040.
[32] Zhang, Guosheng, Perrie, William, Li, Xiaofeng, Zhang, Jun A. A Hurricane Morphology and Sea Surface Wind Vector Estimation Model Based on C-Band Cross-Polarization SAR Imagery. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2017, 55(3): 1743-1751, https://www.webofscience.com/wos/woscc/full-record/WOS:000396106700043.
[33] Lee, Isabella K, Shamsoddini, Ali, Li, Xiaofeng, Trinder, John C, Li, Zeyu. Extracting hurricane eye morphology from spaceborne SAR images using morphological analysis. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2016, 117: 115-125, http://dx.doi.org/10.1016/j.isprsjprs.2016.03.020.
[34] Li Xiaofeng. The first Sentinel-1 SAR image of a typhoon. ACTA OCEANOLOGICA SINICA[J]. 2015, 34(1): 1-2, http://lib.cqvip.com/Qikan/Article/Detail?id=663869755.
[35] Cheng, Yongcun, Liu, Bingqing, Li, Xiaofeng, Nunziata, Ferdinando, Xu, Qing, Ding, Xianwen, Migliaccio, Maurizio, Pichel, William G. Monitoring of Oil Spill Trajectories With COSMO-SkyMed X-Band SAR Images and Model Simulation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2014, 7(7): 2895-2901, https://www.webofscience.com/wos/woscc/full-record/WOS:000341568700018.
[2] Zhu, Yuchao, Zhang RongHua, James N Moum, Wang, Fan, Li Xiaofeng, Li Delei. Physics-informed Deep Learning Parameterization of Ocean Vertical Mixing Improves Climate Simulation. National Science Review[J]. 2022, 9(8): nwac044-, [3] Zhang, Xudong, Wang, Haoyu, Wang, Shuo, Liu, Yanliang, Yu, Weidong, Wang, Jing, Xu, Qing, Li, Xiaofeng. Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model. REMOTE SENSING OF ENVIRONMENT[J]. 2022, 272: http://dx.doi.org/10.1016/j.rse.2022.112940.
[4] Gao, Le, Li, Xiaofeng, Kong, Fanzhou, Yu, Rencheng, Guo, Yuan, Ren, Yibin. AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2022, 15: 2782-2796, http://dx.doi.org/10.1109/JSTARS.2022.3162387.
[5] Zhang, Xudong, Li, Xiaofeng. Oceanic internal waves generated by the Tongan volcano eruption. ACTA OCEANOLOGICA SINICA[J]. 2022, 41(8): 1-4, [6] Li Xiaofeng. A deep learning model to extract ship size from Sentinel-1 SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2021, [7] Ren Yibin, Li Xiaofeng, Yang, Xiaofeng. Development of a dual-attention U-Net model for sea ice and open water classification on SAR images. IEEE Geoscience and Remote Sensing Letters[J]. 2021, [8] Zhang, Xudong, Li, Xiaofeng. Combination of Satellite Observations and Machine Learning Method for Internal Wave Forecast in the Sulu and Celebes Seas. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 59(4): 2822-2832, http://dx.doi.org/10.1109/TGRS.2020.3008067.
[9] Du, Yanlei, Yang, Xiaofeng, Yang, Jian, Tan, Shurun, Ma, Wentao, Li, Ziwei, Li, Xiaofeng. Effects of Temperature on Sea Surface Radar Backscattering Under Neutral and Nonneutral Atmospheric Conditions for Wind Retrieval Applications: A Numerical Study. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 59(4): 2727-2743, http://dx.doi.org/10.1109/TGRS.2020.3013980.
[10] Bin Zhang, Fuchao Li, Gang Zheng, Yanjun Wang, Zhetao Tan, Xiaofeng Li. Developing big ocean system in support of Sustainable Development Goals:challenges and countermeasures. 地球大数据(英文)[J]. 2021, 5(4): 557-575, http://lib.cqvip.com/Qikan/Article/Detail?id=7106721609.
[11] Wang, Yanjun, Li, Xiaofeng, Song, Jinming, Li, Xuegang, Zhong, Guorong, Zhang, Bin. Carbon Sinks and Variations of pCO(2) in the Southern Ocean From 1998 to 2018 Based on a Deep Learning Approach. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 3495-3503, http://dx.doi.org/10.1109/JSTARS.2021.3066552.
[12] Liu, Hengchang, Zhou, Hui, Yang, Wenlong, Liu, Xueqi, Li, Yao, Yang, Ya, Chen, Xu, Li, Xiaofeng. A three-dimensional gravest empirical mode determined from hydrographic observations in the western equatorial Pacific Ocean. JOURNAL OF MARINE SYSTEMS[J]. 2021, 214: http://dx.doi.org/10.1016/j.jmarsys.2020.103487.
[13] Shen, Dongliang, Li, Xiaofeng, Wang, Jia, Bao, Shaowu, Pietrafesa, Leonard J. Dynamical Ocean Responses to Typhoon Malakas (2016) in the Vicinity of Taiwan. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2021, 126(2): http://dx.doi.org/10.1029/2020JC016663.
[14] Zhang, Xudong, Li, Xiaofeng, Zheng, Quanan. A Machine-Learning Model for Forecasting Internal Wave Propagation in the Andaman Sea. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 3095-3106, http://dx.doi.org/10.1109/JSTARS.2021.3063529.
[15] Li, Xiaofeng, Liu, Bin, Zheng, Gang, Ren, Yibin, Zhang, Shuangshang, Liu, Yingjie, Gao, Le, Liu, Yuhai, Zhang, Bin, Wang, Fan. Deep-learning-based information mining from ocean remote-sensing imagery. NATIONAL SCIENCE REVIEWnull. 2020, 7(10): 1584-1605, https://www.sciengine.com/doi/10.1093/nsr/nwaa047.
[16] Zheng, Gang, Li, Xiaofeng, Zhang, RongHua, Liu, Bin. Purely satellite data-driven deep learning forecast of complicated tropical instability waves. SCIENCE ADVANCES[J]. 2020, 6(29): http://dx.doi.org/10.1126/sciadv.aba1482.
[17] Fang, Sunke, Lin, Jianmin, Ni, Sidao, Li, Xiaofeng, Xu, Xiaoqing, Zheng, Hong, Xu, Wen. Improving seismic remote sensing of typhoon with a three-dimensional Earth model. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA[J]. 2020, 148(2): 478-491, http://dx.doi.org/10.1121/10.0001624.
[18] Song, Dongmei, Zhen, Zongjin, Wang, Bin, Li, Xiaofeng, Gao, Le, Wang, Ning, Xie, Tao, Zhang, Ting. A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery. IEEE ACCESS[J]. 2020, 8: 59801-59820, https://doaj.org/article/cdb804688fbd4611a4edcf1489efacf4.
[19] Zhang Xudong, Li Xiaofeng, Zhang Tao. Characteristics and generations of internal wave in the Sulu Sea inferred from optical satellite images. JOURNALOFOCEANOLOGYANDLIMNOLOGY[J]. 2020, 38(5): 1435-1444, http://lib.cqvip.com/Qikan/Article/Detail?id=7102940536.
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发表著作
（1） Maritime Oil Spill Response, Elsevier, 2015-01, 第 1 作者
（2） Ocean Remote Sensing with Synthetic Aperture Radar, MDPI, 2017-01, 第 2 作者
（3） Hurricane Monitoring with Spaceborne Synthetic Aperture Radar, Springer, 2017-01, 第 1 作者
（2） Ocean Remote Sensing with Synthetic Aperture Radar, MDPI, 2017-01, 第 2 作者
（3） Hurricane Monitoring with Spaceborne Synthetic Aperture Radar, Springer, 2017-01, 第 1 作者
科研活动
科研项目
（ 1 ） 中科院****（A类）-基于大数据的人工智能海洋学研究, 主持, 部委级, 2019-04--2022-04
（ 2 ） 基于人工智能-数值模拟耦合系统的黄海有害藻华生物量信息提取及动态分析研究, 主持, 国家级, 2021-01--2024-12
（ 2 ） 基于人工智能-数值模拟耦合系统的黄海有害藻华生物量信息提取及动态分析研究, 主持, 国家级, 2021-01--2024-12
指导学生
现指导学生
刘雪琪 博士研究生 070701-物理海洋学
连鹏 博士研究生 0707Z1-海洋生态学
刘恒昌 博士研究生 070701-物理海洋学
杨文龙 博士研究生 070701-物理海洋学
刘倩 硕士研究生 070701-物理海洋学
黄岩 硕士研究生 070701-物理海洋学
郭媛 硕士研究生 070701-物理海洋学