近5年SCI收录论文
[1]Xiao-Ming Li, Liang Chang, Jian Zhou, Jili Sun, Xingqiang Lu, Xingbo Han, Jianping Wang, Hongliang Lu, Xing Li, Ning Wang, Yujia Qiu and YiRong Wu,(2025).Haishao-1 satellite: low-inclination orbit spaceborne synthetic aperture radar,The Innovation6(9):100949, 2025.https://doi.org/10.1016/j.xinn.2025.100949.
[2]Li, X., Liang, J.,Li, X-M*.(2025) Satellite-based retrieval of the vertical structure of internal solitary waves in continuous stratification.Journal of Geophysical Research - Oceans,130,e2024JC022180.https://doi.org/10.1029/2024JC022180.
[3]Li, X., Liang, J., Fan, K., andLi, X.-M.*(2025), Multi-scale variability of internal solitary wave speed in the Sulu Sea.J. Ocean. Limnol..https://doi.org/10.1007/s00343-024-4071-3
[4]Wu, K. andLi, X.-M.* (2024), Deep learning for retrieving omni-directional ocean wave spectra from spaceborne synthetic aperture radar,Remote Sensing of Environment, 314, https://doi.org/10.1016/j.rse.2024.114386
[5]Y. Qiu,X. -M. Li*, T. Busche and L. Shi, "X- and C-Band SAR Signatures of Sea Ice in the Bohai Sea," inIEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 2001605, doi: 10.1109/LGRS.2024.3468407.
[6]Yujia Qiu,Xiao-Ming Li*, Lin Yan & Zhongzhong Chen (2024) Synergic sensing of light and heat emitted by offshore oil and gas platforms in the South China Sea,International Journal of Digital Earth, 17:1, 2441932, DOI: 10.1080/17538947.2024.2441932
[7]Zi, N.,Li, XiaoMing*,Gade, M., Fu, H., and Min, S.S. (2024). Ocean Eddy detection based on YOLO deep learning algorithm by Synthetic Aperture Radar data.Remote Sensing of Environment, doi: https://doi.org/10.1016/j.rse.2024.114139
[8]Wang, N., Hu, Yonghong,Li, Xiao-Ming*, Lan, Y., Kang, C., Yan, L., Dou, C., and Miao, C. (2024), Enhancing SDGSAT-1 night light images using a panchromatic guidance denoising algorithm,International Journal of Applied Earth Observation and Geoinformation, https://doi.org/10.1016/j.jag.2024.103748.
[9]Huang, Bingqing andLi, XiaoMing* (2023), Wave attenuation by sea ice in the Arctic marginal ice zone observed by spaceborne SAR,Geophysical Research Letters, 50, e2023GL105059, https://doi.org/10.1029/2023GL105059
[10]Qiu, Yujia,Li, XiaoMing*and Guo, Huadong (2023), Spaceborne thermal infrared observations of Arctic sea ice leads at 30m resolution,The Cryosphere,17, pp.2829-2849.
[11]Li, XiaoMing, Qiu, Yujia, Wang, Yacheng, Huang Bingqing, Lu, Haiming, Chu, Min, Fu, Han, Hui, Fengming (2022), Light from space illuminating the polar silk road,International Journal of Digital Earth, 15(1), pp. 2028-2045, doi: 10.1080/17538947.2022.2139865
[12]Qiu, Yujia andLi, XiaoMing*(2022), Retrieval of Sea Ice Drift from the central Arctic to the Fram Strait based on sequential Sentinel-1 SAR Data,IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/tgrs.2022.3226223
[13]Huang, Bingqing andLi, XiaoMing*(2022), Study on Retrievals of Ocean Wave Spectrum by Spaceborne SAR in Ice-Covered Areas,Remote Sensing, 14(23), doi: 10.3390/rs14236086.
[14]Li, XiaoMing, Sun, Yan and Zhang, Qiang (2021), Extraction of sea ice cover by Sentinel-1 SAR based on support vector machine with unsupervised generation of training Data,IEEE Transactions on Geoscience and Remote Sensing, 59(4), pp. 3040-3053, doi:10.1109/TGRS.2020.3007789
[15]Wang, YiRan andLi, XiaoMing*(2021), Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning,Earth System Science Data, 13(6), pp. 2723-2742, doi: 10.5194/essd-13-2723-2021
[16]Wu, Ke,Li, XiaoMing*, Huang, Bingqing (2021), Retrieval of ocean wave heights from Spaceborne SAR in the Arctic ocean with a neural network,Journal of Geophysical Research: Oceans, 126(3), doi: 10.1029/2020JC016946.
[17]Jia, Tong, Liang, Jianjun; Li, Qiang; Sha, Jin,Li, XiaoMing*(2021), Generation of Shoreward Nonlinear Internal Waves South of the Hainan Island: Synthetic Aperture Radar Observations and Numerical Simulations,Journal of Geophysical Research: Oceans, 126(6),10.1029/2021JC017334.
[18]Sun Yan andLi, XiaoMing*(2021), Denoising Sentinel-1 Extra-Wide Mode Cross-polarization Images over Sea Ice,IEEE Transactions on Geoscience and Remote Sensing，59(3), pp. 2116-2131, doi：10.1109/TGRS.2020.3005831
[19]Qin, Tingting, Jia, Tong, Feng, Qian,Li XiaoMing*(2021), Sea surface wind speed retrieval from Sentinel-1 HH polarization data using conventional and neural network methods,Acta Oceanologica Sinica, 40(1), pp.13-21, doi: 10.1007/s13131-020-1682-1.
[20]Li, XiaoMing, Qin, Tingting and Wu, Ke (2020), Retrieval of sea surface wind speed from spaceborne SAR over the Arctic marginal ice zone with a neural network，Remote Sensing,12(20),3291, doi: 10.3390/rs12203291
[21]Li, XiaoMingand Huang, BingQing (2020), A global sea state dataset from spaceborne synthetic aperture radar wave mode data,Scientific Data, 7, 261, doi:https://doi.org/10.1038/s41597-020-00601-3
近5年CSCD收录论文
[22]张兵,柳钦火,李晓明,等.遥感科学的内涵与基础性问题[J].遥感学报, 2025,29(1):1-48. DOI：10.11834/jrs.20244503
[23]孙宏亮，王怡然，贾童，施英妮，李晓明*（2023），基于Faster R-CNN的卫星SAR图像南海海洋内波自动检测，遥感学报，27（4），pp. 905-918, doi: 10.11834/jrs.20211324
[24]黄冰清，李晓明*，蔡琼琼（2023），北极海域SAR海浪方向谱反演及其与中法海洋卫星CFOSAT/SWIM数据的比较，遥感学报，27（4），pp.881-890, doi：10.11834/jrs.20211210
[25]李晓明，黄冰清，贾童，覃婷婷（2020），星载合成孔径雷达海洋遥感与大数据，南京信息工程大学学报，12（2），191-203.
[26]曾智，李晓明，任永政，等.基于TerraSAR-X卫星数据的内孤立波参数和海表流速信息提取的探索研究[J].海洋学报，2020，42(1)：90–101，doi:10.3969/j.issn.0253−4193.2020.01.010
