研究方向：极化干涉雷达数据处理及森林区林下地形测绘

个人邮箱：haiqiangfu@csu.edu.cn

现工作单位：中南大学特聘副教授

个人简介：

2007-2011西南交通大学地球科学与环境工程学院遥感科学与技术本科

2011-2014中南大学地球科学与信息工程学院大地测量硕士

2014-至今中南大学地球科学与信息工程学院大地测量博士在读

发表论文：

[1]Fu H. Q., Zhu J. J., Wang, C. C., Zhao R., Xie Q. H. Underlying topography estimation over forest areas using single-baseline InSAR data, IEEE Transaction on Geoscience and Remote Sensing. 2018, doi: 10.1109/TGRS.2018.2878357. (SCI)

[2]Fu H. Q., Zhu J. J., Wang C. C., Zhao R., Xie Q. H. Atmospheric effect correction for InSAR with wavelet decomposition-based correlation analysis between multipolarization interferograms, IEEE Transaction on Geoscience and Remote Sensing. 2018, 56(10): 5614-5625. (SCI)

[3]Fu H. Q., Zhu, J. J. Wang C. C., Wang H. Q. Zhao R. A wavelet decomposition and polynomial fitting-based method for the estimation of time-varying residual motion error in airborne interferometric SAR. IEEE Transaction on Geoscience and Remote Sensing. 2018, 56(1), 49-59. (SCI)

[4]Fu H. Q., Zhu, J. J., Wang C. C., Li Z. W. Underlying topography extraction over forest areas from multi-baseline PolInSAR data. Journal of Geodesy. 2018, 92(7), 727-741. (SCI)

[5]Liu Z. W.,Fu H. Q.*(通讯作者), Zhu J. J., Zuo T. Y., Zhou C. Using dual-polarization interferograms to correct atmospheric effects for InSAR topographic mapping. Remote Sensing. 2018, 10(8): 1310. (SCI)

[6]Fu H. Q., Zhu J. J., Wang C. C., Xie Q. H., Zhao R. Underlying topography estimation over forest areas using high-resolution P-band single-baseline PolInSAR data. Remote Sensing. 2017, 9(4): 363. (SCI)

[7]Fu H. Q., Wang C. C., Zhu J. J., Xie Q. H., Zhang B. Estimation of pine forest height and underlying DEM using multi-baseline P-band PolInSAR data. Remote Sensing. 2016, 8(10), 820. (SCI)

[8]Fu H. Q., Wang C. C., Zhu J. J., Xie Q. H., Zhao R. Inversion of vegetation height from PolInSAR using complex least squares adjustment method. Science China Earth Sciences. 2015, 58(6), 1018-1031. (SCI)

[9]付海强,朱建军,汪长城,解清华.极化干涉SAR植被高反演复数最小二乘平差法，测绘学报，2014, 43(10): 1061-1067. (EI)

[10]付海强,汪长城,朱建军,解清华,赵蓉. Neumann分解理论在极化SAR植被分类中的应用.武汉大学学报-信息科学版, 2015, 40(5): 607-611. (EI)

承担项目：

[1]基于复数平差的PolInSAR森林覆盖区林下DTM及植被高反演研究.湖南省博士研究生创新项目. (主持)

[2] Extraction of Forest Underlying Topography from ALOS-2 PALSAR L-band PolInSAR data.日本宇航局数据合作计划. (主持)

[3] Development of methods for Forest Biophysical Parameters Inversion Using POLInSAR Data.欧空局数据合作计划. (主持)