研究方向：极化SAR目标分解技术、极化散射机理解译与建模、基于极化SAR和极化干涉SAR的地表生物物理参数反演(如植被高度、土壤湿度等)

个人邮箱：csuxqh@csu.edu.cn

工作单位：中国地质大学（武汉）副教授

个人简介：

湖北荆州人，2010年获得中南大学测绘工程专业学士学位，2010年攻读中南大学硕士学位，2012年至今硕博连读攻读博士学位。2014.10-2016.10获得国家留学基金委资助在西班牙阿利坎特大学雷达遥感课题组进行博士生联合培养，目前已在国内外学术期刊和会议上发表论文多篇，担任国际顶级期刊 《IEEE Transactions on Geoscience and Remote Sensing》，《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》审稿人。Researchgate:https://www.researchgate.net/profile/Qinghua_Xie

发表论文：

1. 期刊论文 (第一作者或通讯作者)

[1]Xie, Q.; Zhu, J.; Wang, C.; Fu H.; Lopez-Sanchez, J. M.; Ballester-Berman, J. D.. A Modified Dual-Baseline PolInSAR Method for Forest Height Estimation, Remote Sensing. 2017, 9, 819. (SCI)

[2]Xie, Q.; Ballester-Berman, J. D.; Lopez-Sanchez, J. M.; Zhu, J.; Wang, C.. On the Use of Generalized Volume Scattering Models for the Improvement of General Polarimetric Model-Based Decomposition. Remote Sensing. 2017, 9, 117.(SCI, JCR-Q1, IF: 3.244)

[3]Xie, Q.; Ballester-Berman, J. D.; Lopez-Sanchez, J. M.; Zhu, J.; Wang, C. Quantitative Analysis of Polarimetric Model-Based Decomposition Methods. Remote Sensing. 2016, 8, 977. (SCI, JCR-Q1, IF: 3.244)

[4]解清华，汪长城，朱建军，付海强. 顾及地形因素的S-RVOG模型和PD相干最优算法联合反演植被高度，测绘学报, 44(6): 686-693, 2015. (EI)

[5]朱建军, 解清华, 左廷英，汪长城，谢建. 复数域最小二乘平差及其在PolInSAR树高反演中的应用，测绘学报, 43(1): 45-51, 2014. (通讯作者，EI， F5000顶尖学术论文）

[6]Xie, Q.; Zhu, J.; Lopez-Sanchez, J. M.; Wang, C.; Fu H.. A Modified General Polarimetric Model-based Decomposition Method with The Simplified Neumann Generalized Volume Scattering Model.IEEE Geoscience and Remote Sensing Letters, 2017. Under Review (SCI, JCR-Q2, IF: 2.761)

2. 期刊论文 (共同作者)

[1]Fu, H.; Wang, C.; Zhu, J.; Xie, Q.; Zhang, B. Estimation of Pine Forest Height and Underlying DEM Using Multi-Baseline P-Band PolInSAR Data. Remote Sensing. 2016, 8, 820. (SCI, JCR-Q1, IF: 3.244)

[2]Wang, C.; Wang, L.; Fu, H.; Xie, Q.; Zhu, J. The Impact of Forest Density on Forest Height Inversion Modeling from Polarimetric InSAR Data. Remote Sensing. 2016, 8, 291. (SCI, JCR-Q1, IF: 3.244)

[3]Fu, H.; Wang, C.; Zhu, J.; Xie, Q.; Zhao, R. Inversion of vegetation height from PolInSAR using complex least squares adjustment method. Science. China Earth Sciences. 2015, 58, 1018–1031.(SCI, JCR-Q2, IF:1.989)

[4]He, Y.; Zhu, J.; Fu, H.; Xie, Q.; Xu, B.; Zhang, B. SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics. Applied. Sciences. 2017, 7, 141. (SCI, JCR-Q3, IF:1.726)

[5]Lin, D.; Zhu, J.; Fu, H.; Xie, Q.; Zhang, B. A TSVD-Based Method for Forest Height Inversion from Single-Baseline PolInSAR Data. Applied. Sciences. 2017, 7, 435. (SCI, JCR-Q3, IF:1.726)

[6]何永红, 朱建军, 解清华, 等. 干涉复小波复数域双变量滤波算法. 测绘学报, 2016, 45(5): 574-580. (EI)

[7]宋桂萍，汪长城，付海强，解清华. 植被高度的极化干涉互协方差矩阵分解反演法，测绘学报，2014, 43(6): 613-619. (EI)

[8]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)

[9]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),2015,05:607-611. (EI)

[10]Wang, C.; Li, Z.; Zhu, J.; Yi, H.; Xie, Q. Flooded Forest Water Level Changes in Amazon Measured with ALOS PALSAR Polarimetric Interferometric SAR Data, Journal of Computational Information Systems, 7(8): 2922-2930, 2011. (EI)

3. 会议论文

[1]Xie, Q.; Ballester-Berman, J. D.; Lopez-Sanchez, J. M.; Zhu, J.; Wang, C. Exploitation of general polarimetric model-based decomposition by incorporating a generalized volume scattering model. The 8th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2017), Frascati (Roma), Italy, 23-27 Jan 2017.(Oral Presentation)

[2]Xie, Q.; Ballester-Berman, J. D.; Lopez-Sanchez, J. M.; Zhu, J.; Wang, C. Monte carlo simulation tests for general polarimetric model-based decomposition method from the perspective of quantitative application. In Proceedings of 11th European Conference on Synthetic Aperture Radar (EUSAR2016), Hamburg, Germany, 6-9 June 2016, 1-4. (Oral Presentation)

[3]Xie, Q.; Wang, C.; Zhu, J.; Fu, H. Improvement of Forest Height Retrieval By Integration of Dual-Baseline PolInSAR Data And External DEM Data, International Workshop on Image and Data Fusion (IWIDF2015). Kona, Hawaii, USA, 21–23 July 2015.(Oral Presentation, ISTP)

[4]Xie, Q.; Zhu, J.; Wang, C.; Fu, H. Boreal Forest Height Inversion Using E-SAR PolInSAR Data Based Coherence Optimization Methods and Three-Stage Algorithm, The Third International Workshop on Earth Observation and Remote Sensing Applications, Changsha, China, 11–14 June 2014. (Poster Presentation, EI)

[5]Xie, Q.; Ballester-Berman, J. D.; Lopez-Sanchez, J. M.; Zhu, J.; Wang, C. 基于散射模型的极化SAR目标分解方法定量分析研究, 第三届成像雷达对地观测高级学术研讨会，长沙11月16-18日，2016. (口头报告)

承担项目：

[1]欧洲空间局数据计划: Development of methods for Tropical Forest Parameters Estimation by Means of PollnSAR Data at P- and L-band (NO.38329) 无经费支持，批准影像数据100余景

[2]欧洲空间局数据计划: Forest Biophysical Parameters Estimation with Random Motion Over Ground(RMOG) model Using POlInSAR Data(NO.14751) 无经费支持，批准影像数据100余景

[3]德国宇航局数据计划: Development of methods for forest biophysical parameters inversion from TerraSAR-X Pol-InSAR data (NO.MTH1337)，无经费支持，批准影像数据50景

[4]中南大学研究生自主探索创新项目 : Forest Biophysical Parameters inversion and DTM extraction based on POLInSAR Data（NO.2013zzts055），总经费1.8万元

[5]国家留学基金委公派出国项目：Forest biophysical parameters inversion and DTM extraction based on polarimetric SAR interferometry (POLInSAR) technology (NO. 201406370079), 总经费 2.4万欧元