中南大学地球科学与信息物理学院导师教师师资介绍简介-汪长城

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教授博士生导师硕士生导师
所在单位：地球科学与信息物理学院
学历：博士研究生毕业
办公地点：物理楼601
性别：男
联系方式：湖南长沙麓山南路932号中南大学地球科学与信息物理学院
学位：博士学位
在职信息：在职
主要任职：Professor
毕业院校：武汉大学
学科：测绘科学与技术

曾获荣誉：
2013年入选中南大学“531人才队伍建设”第三层次人才2010年荣获湖北省优秀博士论文；2010年荣获中南大学优秀班导师；2008年荣获“王之卓创新人才奖”一等奖。

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沈鹏
冯兰平
高晗
蔡杰华
张梦杰
袁万里
毛晓康
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张海波
付海强
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2021年

[1] GAO H, WANG C*, WANG G, FU H, ZHU J. A Novel Crop Classification Method Based on ppfSVM Classifier with Time-series Alignment Kernel from Dual-polarization SAR Datasets, Remote Sensing of Environment. Accepted. (SCI, 中科院一区, TOP期刊)
[2] SHEN P, WANG C*, LU L, LUO X, FU H, ZHU J. A Novel Polarimetric PSI Method Using Trace Moment-Based Statistical Properties and Total Power Interferogram Construction, IEEE Transactions on Geoscience and Remote Sensing, 2021, DOI: 10.1109/TGRS.2021.**. (SCI, 中科院Top期刊)

[3] SHEN P,WANG C*, LUO X, FU H, ZHU J. Interferometric Phase Optimization Based on PolInSAR Total Power Coherency Matrix Construction and Joint Polarization-Space Nonlocal Estimation,IEEE Transactions on Geoscience and Remote Sensing, 2021,(SCI, 中科院Top期刊)
[4] WAN J,WANG C*, SHEN P, FU H, ZHU J.Robust and Fast Super-Resolution SAR Tomography of Forests Based on Covariance Vector Sparse Bayesian Learning [J].IEEE Geoence and Remote Sensing Letters, 2021, doi:DOI: 10.1109/LGRS.2021.**.(SCI)
[5] WAN J, WANG C*, SHEN P, HU J, FU H, ZHU J. Forest Height and Underlying Topography Inversion Using Polarimetric SAR Tomography Based on SKP Decomposition and Maximum Likelihood Estimation, Forests, 2021, 12(4), 444.(SCI)

2020年
[1] LUO X,WANG C*, LONG Y, YI Z, Analysis of the Decadal Kinematic Characteristics of the Daguangbao Landslide Using Multiplatform Time Series InSAR Observations After the Wenchuan Earthquake,Journal of Geophysical Research-Solid Earth, 2020, 125(12): 1-21.(SCI, 自然指数NI 68期刊，封面论文)
[2] SHEN P,WANG C*, LUO X, FU H, ZHU J. PolInSAR Complex Coherence Nonlocal Estimation Using Shape-Adaptive Patches Matching and Trace-Moment-Based NLRB Estimator [J].IEEE Transactions on Geoence and Remote Sensing, 2020, 59(1): 260-272.(SCI, 中科院Top期刊)
[3] SHEN P,WANG C*, FU H, ZHU J, HU J. Estimation of Equivalent Number of Looks in Time-Series Pol(In)SAR Data [J].Remote sensing(Basel, Switzerland), 2020, 12(17): 2715.(SCI)
[4] LUO X,WANG C*, SHEN P. Polarimetric Stationarity Omnibus Test (PSOT) for Selecting Persistent Scatterer Candidates with Quad-Polarimetric SAR Datasets [J].Sensors, 2020, 20(6):(SCI)
[5] LIU G, FU H, ZHU J,WANG C, XIE Q. Penetration Depth Inversion in Hyperarid Desert From L-Band InSAR Data Based on a Coherence Scattering Model [J].IEEE Geoence and Remote Sensing Letters, 2020, PP(99): 1-5.(SCI)
[6] LI Y, FU H, ZHU J,WANG C. A Filtering Method for ICESat-2 Photon Point Cloud Data Based on Relative Neighboring Relationship and Local Weighted Distance Statistics [J].IEEE Geoscience and Remote Sensing Letters, 2020, 1-5.(SCI)
[7] GAO H,WANG C*, WANG G, LI Q, ZHU J. A New Crop Classification Method Based on the Time-Varying Feature Curves of Time Series Dual-Polarization Sentinel-1 Data Sets [J].IEEE Geoscience and Remote Sensing Letters, 2020, 17(7): 1183-7.(SCI)
[8] 吴传军，汪长城，沈鹏，朱建军，付海强，线性变化消光S-RVoG模型的多基线PolInSAR森林高度反演方法，武汉大学学报(信息科学版)，2020

2019年
[1] ZHANG H, ZHU J,WANG C, LIN H, LONG J, ZHAO L, FU H, LIU Z. Forest Growing Stock Volume Estimation in Subtropical Mountain Areas Using PALSAR-2 L-Band PolSAR Data [J].Forests, 2019, 10(3):(SCI)
[2] XIE Y, FU H, ZHU J,WANG C, XIE Q. A LiDAR-Aided Multibaseline PolInSAR Method for Forest Height Estimation: With Emphasis on Dual-Baseline Selection [J].IEEE Geoscience and Remote Sensing Letters, 2019, 1-10.(SCI)
[3] WU C,WANG C*, SHEN P, ZHU J, FU H, GAO H. Forest Height Estimation Using PolInSAR Optimal Normal Matrix Constraint and Cross-Iteration Method [J].IEEE Geoscience and Remote Sensing Letters, 2019, 16(8): 1245-9.(SCI)
[4] WANG C,SHEN P*, LI X, ZHU J, LI Z. A Novel Vessel Velocity Estimation Method Using Dual-Platform TerraSAR-X and TanDEM-X Full Polarimetric SAR Data in Pursuit Monostatic Mode [J].IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(8): 6130-44.(SCI, 中科院Top期刊)
[5] PENG X, LI X,WANG C, ZHU J, LIANG L, FU H, DU Y, YANG Z, XIE Q. SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines [J].Remote Sensing, 2019, 11(8).(SCI)
[6] 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 [J].IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(5): 2876-88.(SCI, 中科院Top期刊)
[7] 高晗，汪长城*，杨敏华，胡灿程，罗兴军，基于高分三号极化SAR数据的农作物散射特性分析及分类，测绘工程，2019，28(3)：50-56

2018年
[1] WANG C, CAI J, LI Z, MAO X, FENG G, WANG Q. Kinematic Parameter Inversion of the Slumgullion Landslide Using the Time Series Offset Tracking Method With UAVSAR Data [J].Journal of Geophysical Research-Solid Earth, 2018, 123(9): 8110-24.(SCI, 自然指数NI 68期刊)
[2] ZHANG H,WANG C, ZHU J, FU H, XIE Q, SHEN P. Forest Above-Ground Biomass Estimation Using Single-Baseline Polarization Coherence Tomography with P-Band PolInSAR Data [J].Forests,2018, 9(4).(SCI)
[3] XIE Q, ZHU J, LOPEZ-SANCHEZ J M,WANG C, FU H. A Modified General Polarimetric Model-Based Decomposition Method With the Simplified Neumann Volume Scattering Model [J].IEEE Geoscience and Remote Sensing Letters, 2018, 15(8): 1229-33.(SCI)
[4] SHEN P,WANG C*, GAO H, ZHU J. An Adaptive Nonlocal Mean Filter for PolSAR Data with Shape-Adaptive Patches Matching [J].Sensors, 2018, 18(7):(SCI)
[5] PENG X,WANG C, LI X, DU Y, FU H, YANG Z, XIE Q. Three-Dimensional Structure Inversion of Buildings with Nonparametric Iterative Adaptive Approach Using SAR Tomography [J].Remote Sensing, 2018, 10(7):(SCI)
[6] PENG X, LI X,WANG C, FU H, DU Y. A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height [J].Sensors, 2018, 18(8):(SCI)
[7] GAO H,WANG C*, WANG G, ZHU J, TANG Y, SHEN P, ZHU Z. A Crop Classification Method Integrating GF-3 PolSAR and Sentinel-2A Optical Data in the Dongting Lake Basin [J].Sensors, 2018, 18(9):(SCI)
[8] 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 [J].IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(10): 5614-25.(SCI, 中科院Top期刊)
[9] 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 [J].IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1): 49-59.(SCI, 中科院Top期刊)
[10]FU H, ZHU J,WANG C, LI Z. Underlying topography extraction over forest areas from multi-baseline PolInSAR data [J].Journal of Geodesy, 2018, 92(7): 727-41.(SCI)
[11]张海波,汪长城*,朱建军,付海强.利用ESAR极化数据的复杂地形区森林地上生物量估算[J].测绘学报, 2018, 47(10): 1353-62.
[12]朱建军,付海强,汪长城. InSAR林下地形测绘方法与研究进展[J].武汉大学学报(信息科学版), 2018, 43(12): 2030-8.

2017年
[1] XIE Q, ZHU J,WANG C, FU H, LOPEZ-SANCHEZ J M, DAVID BALLESTER-BERMAN J. A Modified Dual-Baseline PolInSAR Method for Forest Height Estimation [J].Remote Sensing, 2017, 9(8):(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 [J].Remote Sensing, 2017, 9(2):(SCI)
[3] FU H, ZHU J,WANG C, WANG H, ZHAO R. Underlying Topography Estimation over Forest Areas Using High-Resolution P-Band Single-Baseline PolInSAR Data [J].Remote Sensing, 2017, 9(4):(SCI)
[4] CAI J,WANG C*, MAO X, WANG Q. An Adaptive Offset Tracking Method with SAR Images for Landslide Displacement Monitoring [J].Remote Sensing, 2017, 9(8):(SCI)
[5] 沈鹏,汪长城*,朱建军,高晗,付海强,解清华,王赛,何帅帅.融合升降轨的极化干涉SAR三层模型植被高度反演方法[J].测绘学报, 2017, 46(11): 1868-79.

2016年
[1] WANG C, WANG L, FU H, XIE Q, ZHU J. The Impact of Forest Density on Forest Height Inversion Modeling from Polarimetric InSAR Data [J].Remote Sensing, 2016, 8(4):(SCI)
[2] WANG C, MAO X, WANG Q. Landslide Displacement Monitoring by a Fully Polarimetric SAR Offset Tracking Method [J].Remote Sensing, 2016, 8(8):(SCI)
[3] 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 [J].Remote Sensing, 2016, 8(10):(SCI)
[4] 李宁,汪长城*,彭星,付海强,李鹏飞,熊文秀.一种双基线极化干涉SAR的建筑物高度估计方法[J].武汉大学学报(信息科学版), 2016, 41(10): 1333-8.

2015年
[1] FU H,WANG C*, ZHU J, XIE Q, ZHAO R. Inversion of vegetation height from PolInSAR using complex least squares adjustment method [J].Science China-Earth Sciences, 2015, 58(6): 1018-31.(SCI)
[2] AO M,WANG C*, XIE R, ZHANG X, HU J, DU Y, LI Z, ZHU J, DAI W, KUANG C. Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China [J].Natural Hazards, 2015, 75(3): 2947-64.(SCI)
[3] 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[J].测绘学报, 2015, 44(06): 686-93+701.
[4] 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[J].武汉大学学报(信息科学版), 2015, 40(05): 607-11.

2014年
[1] WANG Q,WANG C*, XIE R, ZHANG X, ZHU J. An improved SCGM(1,m) model for multi-point deformation analysis [J].Geosciences Journal, 2014, 18(4): 477-84.(SCI)
[2] 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[J].测绘学报, 2014, 43(06): 613-9+36.
[3] 付海强,朱建军,汪长城,解清华,赵蓉.极化干涉SAR植被高反演复数最小二乘平差法[J].测绘学报, 2014, 43(10): 1061-7.

2013年
[1] 李佳,李志伟,汪长城,朱建军,丁晓利. SAR偏移量跟踪技术估计天山南依内里切克冰川运动[J].地球物理学报, 2013, 56(04): 1226-36.

2012年
[1] WANG C, WANG Y, LIAO M. Removal of azimuth ambiguities and detection of a ship: using polarimetric airborne C-band SAR images [J].International Journal of Remote Sensing, 2012, 33(10): 3197-210.(SCI)
[2] 肖金群,李志伟,汪长城,丁晓利.相位补偿SAR差分干涉提取山区DEM算法及精度分析[J].武汉大学学报(信息科学版), 2012, 37(03): 334-8.

2011年
[1] 邢学敏,朱建军,汪长城,易恒.一种新的CR点目标识别方法及其在公路形变监测中的应用[J].武汉大学学报(信息科学版), 2011, 36(06): 699-703.

2010年
[1] LIAO M, WANG Y,WANG C, LIU L. Modification of a scattering model-based speckle filter applied to coastal environments: an LULC study using PALSAR data [J].International Journal of Remote Sensing, 2010, 31(8): 2101-7.(SCI)
[2] 肖金群,汪长城,李志伟,杨亚夫.基于配准偏移量的InSAR基线估计[J].武汉大学学报(信息科学版), 2010, 35(10): 1236-9.

2009年
[1] WANG Y, LIAO M,WANG C. Applications and Analyses of Satellite-borne L-band Synthetic Aperture Radar Data in Coastal Environments [J].Geography Compass, 2009,
[2] 汪长城,廖明生.一种多孔径SAR图像目标检测方法[J].武汉大学学报(信息科学版), 2009, 34(01): 32-5.

2008年
[1] LIAO M,WANG C, WANG Y, JIANG L. Using SAR images to detect ships from sea clutter [J].IEEE Geoscience and Remote Sensing Letters, 2008, 5(2): 194-8.(SCI)
[2] WANG C, LIAO M, LI X. Ship detection in SAR image based on the alpha-stable distribution [J].Sensors, 2008, 8(8): 4948-60.(SCI)

研究方向一：极化干涉SAR植被高度反演及林下DTM提取

该研究获得了国家自然科学基金重点项目“顾及生物物理参数的极化干涉SAR几何和物理观测量联合反演植被高度及DTM”（NO. **）资助。该项目拟研究树高、胸径、冠层填充因子、冠幅、郁闭度等植被生物物理参数对极化SAR散射机理的影响，建立精准的极化散射模型。在此基础上，引入现代测量平差的思路，发展极化干涉SAR几何与物理观测量联合平差理论，包括极化干涉SAR优化的测量平差表达、平差准则、参数解算和精度评定方法；建立基于联合平差的多平台、多基线极化干涉方法协同反演植被高和DTM。项目对解决地形图测绘和DTM制作中去除植被高的难题、丰富测量平差和极化干涉理论具有重要意义。
研究背景：

已取得的成果：

发表的相关论文：
[1] 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 Sens. 2016, 8, 291.(SCI)
[2] FU HaiQiang, WANG ChangCheng*, ZHU JianJun, XIE QingHua, ZHAO Rong. 2015. Inversion of vegetation height from PolInSAR using complex least squares adjustment method. SCIENCE CHINA Earth Sciences,58 (6): 1018-1031. (SCI)
[3] 解清华, 汪长城*, 朱建军, & 付海强. (2015). 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(6), 686-693.

[4] 宋桂萍，汪长城*，付海强，解清华，基于极化干涉互协方差矩阵分解的植被高度反演新方法，测绘学报，2014, 43(6): 613-636. (EI)
[5] 付海强, 汪长城, 朱建军, 解清华, & 赵蓉. (2015). 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, 40(5), 607-611.
[6] 朱建军，解清华，左廷英，汪长城，复数域最小二乘平差准则及其在PolInSAR树高反演中的应用，测绘学报，2014, 43(1): 45-51. (EI)

研究方向二：基于遥感影像的目标探测、跟踪及识别研究

利用星载及机载SAR、光学影像、无人机影像实现地面目标的探测、跟踪及识别。该研究获得国家自然科学基金青年基金项目“基于散射机理的极化SAR图像海上舰船检测方法研究”（NO.**）资助。针对SAR图像中存在的斑点噪声、方位模糊噪声及海中岛屿（岛礁）等容易引起海上舰船检测虚警的问题，该项目在研究极化SAR舰船目标及海杂波等的散射机理的基础上，研究极化SAR图像海上舰船检测的理论和方法。
相关成果：

发表的相关论文：
[1] Changcheng Wang, Yong Wang and Minsheng Liao, Removal of azimuth ambiguities and detection of a ship: using polarimetric airborne C-band SAR images, International Journal of Remote Sensing, 33(10), 2012 (SCI)
[2] Wang, Changcheng, Liao, Mingsheng, Li, Xiaofeng, Ship detection in SAR image based on the Alpha-stable distribution, Sensors, 8: 4948-4960. 2008. (SCI)
[3] Mingsheng Liao, Changcheng Wang, Yong Wang, Liming Jiang. Using SAR Image to Detect Ships from Sea Clutter. IEEE Geoscience and Remote Sensing Letters. 5(2): 194-198. 2008. (SCI)
[4] 汪长城，廖明生，一种多孔径SAR图像目标检测方法，《武汉大学学报<信息科学版>》，1: 32-35. 2009. (EI)

研究方向三：基于极化干涉SAR的建筑物目标三维模型重建研究

利用极化干涉SAR数据提取建筑物目标三维结构模型。该研究获得国家自然科学基金面上项目“基于散射机理的高分辨率极化干涉SAR城市目标三维模型重建研究”（NO.**）资助。项目将极化干涉信息引入到层析SAR技术领域，提出基于散射机理的极化干涉SAR城市目标三维结构重建新思路。

研究方向四：基于SAR/InSAR/极化干涉SAR的地表形变监测研究

利用SAR、InSAR、极化SAR、极化干涉SAR研究典型地质灾害（如针对城市地表沉降、滑坡形变及矿区形变）引起的地表形变的监测理论与方法。该研究获得湖南省自然科学基金项目的资助。
相关的成果：

发表的相关论文：
[1] Minsi Ao, Changcheng Wang*, Rongan Xie, Xingqing Zhang, Jun Hu, Yanan Du, Zhiwei Li, Jianjun Zhu, Wujiao Dai, Cuilin Kuang. Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China, Natural Hazards, 2015, 75(3): 2947-2964. (SCI)

Figure 1. Displacement of the Slumgullion landslide. The background is the SAR intensity image.
(a) the azimuth displacement, (b) the range displacement, (c) the 2D displacement vector.

研究方向五：基于并行计算技术的遥感影像软件系统设计

针对遥感影像海量数据的特点，研究基于多机并行、多核并行、GPU并行及云计算等技术的遥感影像软件系统设计，从而解决遥感影像计算机处理效率。