个人简介

主讲课程: 高等海洋遥感、海洋气象前沿进展 教育背景: 2003.9-2008.7 中国科学院海洋研究所，物理海洋学，博士 1999.9-2003.7 中国石油大学，测绘工程，本科 工作经历: 2011.11- 南京信息工程大学，教授 2015.3-2016.2 美国马里兰大学，访问学者 2013.10-2014.2 加拿大海洋渔业部，访问科学家 2008.10-2011.10 加拿大贝德浮德海洋研究所，博士后 荣誉获奖: 2016年国家优秀青年基金获得者 2016年江苏省优秀青年科学基金获得者 2016江苏省“三三三”人才工程高层次人才 2018年江苏省“六大人才高峰”高层次人才 2017年江苏省科学技术一等奖 （排名第2） 2014年国家海洋科学技术一等奖（排名第1） 2014年教育部高等学校科学研究优秀成果二等奖（排名第2） 2009年国家海洋局海洋创新成果二等奖（排名第6） 发明专利成果: 张彪、陈冲、曹政、王宁、丘仲锋、陈明健、赵阳、钱铭：一种多旋翼无人机子母机系统及其控制方法 张彪、陈冲、王宁、曹政、陈明健、赵阳、钱铭、丘仲锋：一种基于无人机的集成式测量装置. 张彪、陈冲、王宁、钱铭、丘仲锋、傅瑞雪、石晓雨：一种基于无人机测雾霾系统. 张彪、陈冲、曹政、王宁、丘仲锋、陈明健、赵阳、钱铭：一种多旋翼无人机子母机系统及其控制方法. 张彪、陈冲、王宁、丘仲锋：一种测风向风速专用多旋翼无人机. 张彪、丘仲锋、陈冲、王耀彬、王宁、曹政、钱铭、陈明健、赵阳 :一种航模电池转接头. 张彪、陈冲、赖文典、邱仲锋、王宁、曹政、钱铭、陈明健、赵阳: 基于无人机的海水自动取样装置. 张彪、陈冲、王宁、曹政、丘仲锋、陈明健、钱铭、赵阳：一种无人机坠水防沉装置. 陈冲、张彪、杨光、傅瑞雪、朱紫容、许馨尹：一种基于无人飞行器的红外线温湿风压探测系统. 丘仲锋、张彪、何宜军：一种水色遥感星地匹配数据的选取方法 何宜军、刘保昌、陈忠彪、张彪、丘仲锋：一种基于角度分集的海洋流场反演星载SAR系统及其方法. 何宜军、刘保昌、陈忠彪、张彪、丘仲锋：一种基于逆Omega-K算法的海面要素SAR原始数据仿真方法. 近期科研项目: 2016.9-2020.12 科技部重点研发计划 微波极化遥感机理与应用 2017.1-2019.12 国家优秀青年科学基金 海洋微波遥感 2016.6-2019.6 江苏省优秀青年科学基金 海洋典型要素微波极化遥感机理与信息提取技术 2018.11-2021.10 江苏省六大人才高峰计划 移动式海气界面气象要素智能观测系统 2015.1-2018.12 国家自然科学基金面上项目 干涉成像高度计海面风速和波浪遥感机理与信息提取方法研究 2013.1-2016.12 科技部863项目 海洋动力环境微波遥感信息提取技术与应用 2013.1-2015.12 国家自然科学青年基金 简缩极化SAR海洋溢油探测技术研究 2012.7~2015.6 江苏省自然科学青年基金 高分辨率全极化合成孔径雷达遥感海面风场技术研究

研究领域

海洋微波遥感、海气相互作用、海气界面移动智能观测设备研制、海洋大数据与人工智能

海洋技术

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

张彪，干涉合成孔径雷达海浪遥感，科学出版社，2019. 66: Zhang B, A. Mouche, W. Perrie, G. Zhang, H. Wang, 2019: A Geophysical model function for wind speed retrieval from C-band HH-polarized synthetic aperture radar, IEEE Geosci. Remote Sens Lett., 16, 1521-1525. 65: Fan S, B. Zhang, A. Mouche, W. Perrie, J. A. Zhang, G. Zhang, 2019: Estimation of wind direction in tropical cyclones using C-and dual-polarization synthetic aperture radar, IEEE Trans. Geosci. Remote Sens., 26, 1-13. 64: Zhang G, W. Perrie, B. Zhang, J. Yang, Y. He, 2019: Monitoring of tropical cyclone structures in ten years of RADARSAT-2 SAR images. Remote Sens Environ., 236, 111449. 63: Sun Z, B. Zhang, W. Perrie, J. A. Zhang, 2019: Examination of surface wind asymmetry in tropical cyclones over the Northwest Pacific Ocean using SMAP observations, Remote Sens., 11, 2604. 62: Fan S, V. Kudryavtsev, B. Zhang, W. Perrie, B. Chapron, A. Mouche, 2019: On C-band Quad-polarized properties of ocean surface currents, Remote Sens., 11(19), 2321. 61: Kudryavtsev, V., S. Fan, B. Zhang, A. Mouche, B. Chapron, 2019: On Quad-polarized SAR measurements of the ocean surface, IEEE Trans. Remote Sens., 57, 8362-8370. 60: Mouche, A., B. Chapron, J. Knaff, Y. Zhao, B. Zhang, and C. Combot, 2019: Copolarized and cross-polarized SAR measurements for high-resolution description of major hurricane wind structures: Application to Irma category 5 hurricane, J. Geophys. Res., 124, 3905-3922. 59: Chen Z, B. Zhang, V. Kudryavtsev, Y. He, and X. Chu, 2019：Estimation of sea surface current from X-band marine radar images by cross-spectrum analysis, Remote Sens., 11, 1031, doi:10.3390/rs11091031. 58: Zhang G, Zhang B, W. Perrie, Y. He, H. Li, H. Fang, S. Khurshid, K. Warner, 2019: C-band right-circular polarization ocean wind retrieval, IEEE Geosci. Remote Sens Lett., 16, 1398-1401. 57: Fan Q, F. Chen, M. Chen, S. Lou, R. Xiao, B. Zhang, 2019: Ship detection using a fully convolutional network with compact polarimetric SAR images, Remote Sens., 11, 2171. 56: Zhang B, W. Alpers, 2018: The rain of effect on radar backscattering from the Ocean, Advance in SAR ocean remote sensing, 1-15, CRC Press. 55: Ji J, C. Dong, Zhang B, Y. Liu, B. Zou, 2018: Ocean eddy characteristics and generation mechanisms in the Kuroshio extension region, J. Geophys. Res., 123, doi:10.1029/2018JC0140196. 54: Zhang G, W. Perrie, Zhang B, S. Khurshid, K. Warner, 2018: Semi-empirical ocean surface model for compact-polarimetry mode SAR of RADARSAT Constellation Mission, Remote Sens Environ., 127. pp. 52-60. 53: Lu Y, Zhang B, W. Perrie, A. Mouche, X. Li, and H. Wang, 2018: A C-band geophysical model function for determining coastal wind speed using synthetic aperture radar, IEEE J. Sel. Topics. Appl. Earth. Observ. Remote Sens., 11, pp. 2417-2428, doi:10.1109/JSTARS.2018.2836661. 52: Yue X, Zhang B, Liu G, Li X, Zhang H, He Y, 2018: Upper ocean response to typhoon in the south china sea from multiple satellite observations and numerical simulations, Remote Sens., vol. 10, no. 348, pp.1-22, doi:10.3390/rs10020348. 51: Sun T, G. Zhang, W. Perrie, Zhang B, C. Guan, S. Khurshid, K. Warner, J. Sun, 2018: Ocean wind retrieval models for RADARSAT Constellation Mission Compact Polarimetry SAR, Remote Sens., 10, 1938, doi:10.3390/rs10121938. 50: Zhang B, Li X, Perrie W, Garcia-Pineda O, 2017: Compact polarimetric synthetic aperture radar for marine oil platform and slick detection, IEEE Trans. Geosci. Remote Sens, vol. 55, pp. 1407-1422, doi:10.1109/TGRS.2016.2623809. 49: Mouche A, Chapron B, Zhang B, and Husson R, 2017: Combined co- and cross-polarized SAR measurements under extreme wind conditions, IEEE Trans. Geosci. Remote Sens., vol. 99, pp. 1-10, doi:10.1109/TGRS.2017.2732508. 48: Chen Z, He Y, Zhang B, 2017: A method to correct the influence of rain on X-band marine radar image, IEEE Access., vol. 12, pp.1-8, doi://10.1109/ACCESS.2017.2772784. 47: Song D, Ding Y, Li X, Zhang B, and Chen W, 2017: Ocean oil spill classification with RADARSAT-2 SAR based on an optimized wavelet neural network, Remote Sens., 9, 799, doi:10.3390/rs9080799. 46: Chen Z, He Y, Zhang B, 2017: An automatic algorithm to retrieve wave height from X-band marine radar image sequence, IEEE Trans. Geosci. Remote Sens., vol. 55, pp.5084-5092. 45: Qiu J, Zhang B, Chen Z, He Y, 2017: A new modulation transfer function with range and azimuth dependence for ocean wave spectra retrieval from X-band marine radar observations, IEEE Geosci. Remote Sens Lett., vol. 14, pp. 1373-1377. 44: Shao W, Li X, Hwang P. A, Zhang B, 2017: Bridging the gap between cyclone wind and wave by C-band SAR, J. Geophys. Res., 122, doi:10.1002/2017JC012908. 43: Li X, Zhang B, Mouche, A, He Y, 2017: Ku-band sea surface radar backscatter at low incidence angle under extreme wind conditions, Remote Sens., vol.9,doi:10.3390/rs9050474. 42: Zhang G, Li X, Perrie W, Hwang P, Zhang B, and Yang X, 2017: A hurricane wind speed retrieval model for C-band Radarsat-2 cross-polarization ScanSAR images, IEEE Trans. Geosci. Remote Sens., vol. 55, pp. 4766-4744. 41: Hwang P. A, Li X, Zhang B, 2017: Retrieving hurricane wind speed from dominant wave parameters, IEEE J. Sel. Topics. Appl. Earth. Observ. Remote Sens., vol.10, pp. 2589-2598. 40: Ji J, Dong C, Zhang B, Liu Y, 2017: Oceanic Eddy Statistical Comparision Using Multiple Observational Data in the Kuroshio Extension Region, Acta Oceanologica Sinica., vol. 36, pp. 1-7, doi:10.1007/s13131-016-0882-1. 39: Mai M, Zhang B, Li X, Hwang P. A, Zhang J. A, 2016: Application of AMSR-E and AMSR2 low-frequency channel brightness temperature data for hurricane wind retrievals, IEEE Trans. Geosci. Remote Sens., vol. 54, pp. 4501-4512, doi:10.1109/TGRS.2016.2543502. 38: Alpers W, Zhang B, Mouche A, Zeng K, Chan P W, 2016: Rain footprints on C-band synthetic aperture radar images of the ocean – revisited, Remote Sensing of Environment, vol. 187, pp. 169-185. 37: Liu G, Perrie W, Kudryavtsev V, He Y, Shen H, Zhang B, Hu H, 2016: Radar imaging of intense nonlinear Ekman divergence, Geophys. Res. Lett., 43, 9810-9818, doi:10.1002/2016GL070799. 36: Li X, He Y, Zhang B, Fan C, 2016: The construction of a three-dimensional antenna gain matrix and its impact on retrieving sea surface mean square slope based on aircraft wave spectrometer data, J. Atmos. Oceanic Technol., vol.33, pp. 847-856, doi:10.1175/JTECH-D-15-0095.1. 35: Li X, He Y, Zhang B, Chu X, 2016: A geometrical optics model based on non-Gaussian probability density distribution function of sea surface slope for wind speed retrieval at low incidence angles, Int. J. Remote Sen., vol.37, pp. 537-550, doi:10.1080/01431161.2015.1131870. 34: Zhang B, Li X, Perrie W, and He Y, 2015: Synergistic measurements of ocean winds and waves from SAR, J. Geophys. Res., 120, 6164-6184, doi:10.1002/2015JC011052. 33: Zhang G, Li X, Perrie W, Zhang B, Wang L, 2015: Rain effect on the hurricane observations over the ocean by C-band synthetic aperture radar, J. Geophys. Res., 120, doi:10.1002/2015JC011044. 32: Chen Z, He Y, Zhang B, Qiu Z, 2015: Determination of nearshore sea surface wind vector from marine X-band radar images, Ocean Engin., 96, 79-85. 31: Xu Q, Chen Y, Plag Hans-Peter, Zhang B, 2015: Investigation of sea level variability in the Baltic sea from tide gauge, satellite altimeter data, and model reanalysis, Int. J. Remote Sen., 36, 2548-2568. 30: Hwang, P. A, Stoffelen A, van Zadelhoff G.-J, Perrie W, Zhang B, 2015: Cross-polarized geophysical model function for C-band radar backscattering from the ocean surface and wind speed retrieval, J. Geophys. Res., 120, doi:10.102/2014JC010439. 29: Chen Z, Zhang B, He Y, Qiu Z, Perrie W, 2015: A new modulation transfer function for ocean wave spectra retrieval from X-band marine radar imagery, Chinese Journal of Oceanology and Limnology., vol. 33, pp. 1132-1141, doi:10.1007/00343-015-4147-1. 28: Hamilton B, Dean C, Kurata N, Vella K, and Zhang B, 2015: Surfactant associated bacteria in the sea surface microlayer: case studies in the straits of Florida and the Gulf of Mexico, Can. J. Remote Sen., vol. 41, pp. 135-143, doi:10.1080/07038992.2015.1048849. 27: Zhang B, W. Perrie, Jun A. Zhang, E. Uhlhorn, and Y. He, 2014: High resolution hurricane vector winds from C-band dual-polarization SAR observations, J. Atmos. Oceanic Technol., vol. 31, pp. 272-286, doi:10.1175/JTECH-D-13-00006.1. 26: Zhang B, Perrie, W, 2014: Recent progress on high wind speed retrieval from multi-polarization SAR imagery: A review, Int. J. Remote Sen., vol. 35, pp. 4031-4045, doi:10.1080/01431161.2014.916451. 25: Zhang G, Zhang B, Perrie W, Xu Q, 2014: A hurricane tangential wind profile estimation method for C-band cross-polarization SAR, IEEE Trans. Geosci. Remote Sens., vol. 52, pp. 7186-7194, doi:10.1109/TGRS.2014.2308839. 24: Hwang, P. A, Perrie W, Zhang B, 2014: Cross-polarization radar backscattering from the ocean surface and its dependence on wind velocity, IEEE Geosci. Remote Sens Lett., vol. 11, pp. 2188-2192, doi:10.1109/LGRS.2014.2324276. 23: Chen Z, He Y, Zhang B, and Qiu Z, 2014: A new algorithm to retrieve wave parameters from marine X-band radar image sequences, IEEE Trans. Geosci. Remote Sens., vol. 52, pp. 4083-4091, doi:10.1109/TGRS.2013.2279547. 22: Chen Z, He Y, Zhang B, and Qiu Z, 2014: A new method to retrieve significant wave height from X-band marine radar image sequences, Int. J. Remote Sen., vol. 35, pp. 4559-4571, doi:10.1080/01431161.2014.916440. 21: Liu G., Yang X, Li X, Zhang B, Pichel W, Li Z, Zhou X, 2013: A systematic comparison of the effect of polarization ratio models on sea surface wind retrieval from C-band synthetic aperture radar, IEEE J. Sel. Topics. Appl. Earth. Observ. Remote Sens., vol. 6, pp. 1100-1108, doi:10.1109/JSTARS.2013.2242848. 20: Zhang B, Perrie W, 2012: Cross-polarized synthetic aperture radar: A new potential technique for hurricanes, Bull. Amer. Meteor. Soc., vol. 93, pp. 531-541, doi:10.1175/BAMS-D-11-00001.1. 19: Zhang B, Perrie W, Vachon P. W, Li X, Pichel W, Guo J, and He Y, 2012: Ocean vector winds retrieval from C-band fully polarimetric SAR measurements, IEEE Trans. Geosci. Remote Sens., vol. 50, pp. 4252-4261, doi:10.1109/TGRS.2012.2194157. 18: Kuang H, W Perrie, Xie T, Zhang B, and Chen W, 2012: Retrieval of sea surface temperature fronts from SAR imagery, Geophys. Res. Lett., 39, L10607, doi:10.1029/2012GL051288. 17: Zhang B, Perrie W, He Y, 2011: Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model, J. Geophys. Res., vol. 116, C08008, doi:10.1029/2010JC006522. 16: Zhang B, W. Perrie, X. Li, and W. Pichel, 2011: Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image, Geophys. Res. Lett., L10602, doi:10.1029/2011GL047013. 15: Li H, Perrie W, Guo L, and Zhang B, 2011: On polarization characteristics in SAR images of mesoscale cellular convection in the marine atmospheric boundary layer, J. Geophys. Res., vol. 116, C08028, doi: 10.1029/2010JC006738. 14: Zhang B, Perrie W, and He Y, 2010: Validation of RADARSAT-2 fully polarization SAR measurements of ocean surface waves, J. Geophys. Res., vol. 115, C06031, doi:10.1029/2009JC005887. 13: Hwang P. A, Zhang B, and Perrie W, 2010: Depolarized radar return for breaking wave measurement and hurricane wind retrieval, Geophys. Res. Lett., vol. 37, L01604, doi:10.1029/2009/GL041780. 12: Hwang P. A, Zhang B, Toporkov J. V, and Perrie W, 2010: Comparison of composite bragg theory and quad-polarization radar backscatter from RADARSAT-2: with application to wave breaking and high wind retrieval, J. Geophys. Res., vol. 115, C08019, doi:10.1029/2009JC005995. 11: Zhang B, Perrie W, and He Y, 2009: Remote sensing of ocean waves by along-track interferometric synthetic aperture radar, J. Geophys. Res., vol. 114, C10015, doi:10.1029/JC005310. 10: Fan K, Huang W, He M, Fu B, Zhang B, and Chen X, 2008: Depth inversion in coastal water on based SAR image of waves, Chinese Journal of Oceanology and Limnology., vol. 26, pp. 434-439. 9: Zhang B, He Y, and Vachon P. W, 2008: Numerical simulation and validation of ocean waves measured by along-track interferometric synthetic aperture radar, Chinese Journal of Oceanology and Limnology., vol. 26, pp. 1-8. 8: 丘吉东, 张彪, 陈忠彪, 何宜军, 2017: 基于X波段海浪雷达的风浪联合反演方法研究, 海洋技术, 36(1), 1-6. 7: 王利亚, 何宜军, 张彪, 刘保昌, 2017：HY-2卫星扫描微波辐射计数据反演北极海冰漂移速度, 海洋学报, 39(9)：110-120. 6: 张彪, 何宜军, 2015: 高海况海洋遥感信息提取技术研究进展，海洋技术, 34(3), 16-19. 5: 张国盛, 张彪, 杜岩, 王蕾, 2014: 基于卫星高度计资料提取热带印度洋Rossby波传播速度与半径, 热带海洋学报, 33(5), 22-27. 4: 张彪, 何宜军, 2007: 交轨干涉SAR涌浪干涉相位模型及数值模拟, 电波科学学报, 22(6), 1014-1028. 3: 张彪, 何宜军, 2006: 干涉合成孔径雷达海浪遥感研究, 遥感技术与应用, 21(1), 11-17. 2: 王丽静, 张彪, 何宜军, 2009: 利用遗传算法反演实时近海面气温和比湿, 海洋科学, 33(4), 20-24. 1: 何宜军, 李海燕, 孟雷, 张彪, 2007: 全极化雷达海浪遥感方法, 遥感技术与应用, 22(2), 172-182.

学术兼职

国际电子与电气工程师学会高级会员 美国地球物理学会会员 美国气象学会会员 中国气象学会会员 上海海洋大学客座教授 国家自然科学基金通讯评审专家 期刊审稿专家：JGR、GRL、JAS、IEEE TGRS、RSE、IJRS、IEEE JSTARS、Nature Scientifc Report