EN
张松林
教授
测量数据处理方法与应用
姓名: 张松林
性别:

职称:

教授

籍贯:

湖北

邮箱:

zhangsonglin@tongji.edu.cn

简介:

1994、1999年分别获武汉测绘科技大学工学学士、工学硕士学位,2003年获武汉大学工学博士学位。1994年留武汉测绘科技大学任教,2005年到44118太阳成城集团任教,2010年在德州大学访问学习。主持国家自然科学基金项目2项、上海市自然科学基金项目1项,上海市教委专项基金项目1项、重点实验室开放基金项目3项,参与纵横向科研项目多项。

学习和工作经历

2014-今

44118太阳成城集团

教授

2010-2011

Texas Univ. at Dallas

访问学者

2009-2014

44118太阳成城集团

副教授

2005-2009

44118太阳成城集团

讲师

1999-2005

武汉大学

讲师

1994-1999

武汉测绘科技大学

助教

1999–2003

武汉大学

博士研究生,专业:大地测量学与测量工程

1996–1999

武汉测绘科技大学

硕士研究生,专业:大地测量学与测量工程

1990–1994

武汉测绘科技大学

本科生,专业:工程测量


获奖与荣誉

2016

国家科技进步一等奖

航天重大工程的遥感空间信息可信度理论与关键技术(12)

2016

上海市科技进步一等奖

地理空间数据可信度理论与关键技术及应用(5)

2011

全国高等学校测绘学科青年教师讲课竞赛三等奖


2007

上海市优秀青年教师



研究方向

测量数据处理方法与应用



主持项目

  1. 不等式约束平差模型的蒙特卡罗法质量评价框架研究,上海市自然科学基金面上项目(19ZR1459700),2019-2022

  2. 附加不等式约束的总体最小二乘平差理论与应用,国家自然科学基金面上项目( 41174003), 2012-2015


主要论文

  1. J Han, S Zhang, S Zheng, M Wang*, H Ding, Q Yan. Bias Analysis and Correction for Ill-Posed Inversion Problem with Sparsity Regularization Based on L1 Norm for Azimuth Super-Resolution of Radar Forward-Looking Imaging. Remote Sensing. 2022, 14(22): 5792.

  2. W He, S Zhang, H Meng, J Han, G Zhou, H Song, S Zhou, H Zheng*. Full-Coverage PM2.5 Mapping and Variation Assessment during the Three-Year Blue-Sky Action Plan Based on a Daily Adaptive Modeling Approach. Remote Sens. 2022, 14: 3571.

  3. J Han, S Zhang*, Z Ye. A Non-Blind Deconvolution Method by Bias-correction for Inaccurate Blur Kernel Estimation in Image Deblurring. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5604814.

  4. J Han, S Zhang*, N Fan, Z Ye. Local Patch-wise Minimal and Maximal Values Prior for Single Optical Remote Sensing Image Dehazing. Information Science, 2022, (606): 173-193.

  5. T Zhou, P Lin, S Zhang, J Zhang, J Fang. A novel sequential solution for multi-period observations based on the Gauss-Helmert model. Measurement, 2022, (195)31: 111166.

  6. W He, H Meng, J Han, G Zhou, H Zheng*, S Zhang*. Spatiotemporal PM2.5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree. Chemosphere, 2022, (296): 134003.

  7. J Han, S Zhang*, J Li.  “Closure to ‘New First-Order Approximate Precision Estimation Method for Parameters in an Error-In-Variables Model’  DOI:4 10.1061/(ASCE)SU.1943-5428.0000335”, Journal of Surveying Engineering, 2022, 148(2): 07021002 .

  8. H Wu, H Yue, J Han*, S Zhang. Indoor Map Boundary Correction Based on Normalized Total Least Squares of Condition Equation. Journal of Surveying Engineering, 2021, 147(4): 04021015.

  9. J Han, S Zhang*, J Li. New First-Order Approximate Precision Estimation Method for Parameters in an Errors-in-Variables Model.” Journal of Surveying Engineering, 2021, 147(1): 04020023–1–12.

  10. K Zhang, S Zhang*. Accessibility analysis of protestant churches in Shanghai, China. GeoJournal , 2021, 86(2): 679–688.

  11. S Zhang, K Zhang*, J Li, J Han. Quality evaluation of linear inequality constrained estimation by Monte Carlo sampling in parameter space,  Survey Review, 2021, 53(378): 216-222.

  12. J Han, S Zhang*,Y Li, X Zhang. A General Partial Errors-In-Variables Model and a Corresponding Weighted Total Least-Squares Algorithm, Survey review, 2020, 52(371): 126-133.

  13. Y Jin, X Tong, L Li, S Zhang, S Liu. Partial total-least-squares adjustment of condition equations with application to a rectangular building adjustment in a GIS, Journal of Surveying Engineering,  2018, 144(1): 04017021.

  14. K Zhang, X Chen*, S Zhang, B Wilson-Gray. Towards a Healthy Ride: Locating Public Toilets in the Shanghai Metro System. Applied Spatial Analysis and Policy, 2018, 11 (2): 381-395.

  15. S Zhang,K Zhang*, J Han, X Tong. Total least norm solution for linear structured EIV model, Applied Mathematics and Computation, 2017, 304: 58-64.

  16. K Zhang, Z Huang, S Zhang*. Using an optimization algorithm to establish a network of video surveillance for the protection of Golden Camellia. Ecological Informatics, 2017, 42: 32-37.

  17. S Zhang,K Zhang, P Liu. Total least-squares estimation for 2d affine coordinate transformation with constraints on physical parameters. Journal of Surveying Engineering, 2016, 142 (3): 04016009.

  18. X Tong, Y Jin, S Zhang, L Li, S Liu. Bias-corrected weighted total least-squares adjustment of condition equations. Journal of Surveying Engineering, 2015, 141(2): 04014013.

  19. Y Jin, X Tong*, L Li, S Zhang, S Liu. Total least L1- and L2-norm estimations of a coordinate transformation model with a structured parameter matrix. Studia Geophysica et Geodaetica, 2015, (59): 345-365.

  20. S Zhang,K Zhang. On a basic multivariate EIV model with linear equality constraints. Applied Mathematics and Computation, 2014, 236: 247-252.

  21. S Zhang, X Tong, K Zhang. A Solution to EIV model with inequality constraints and its geodetic applications. Journal of Geodesy, 2013, 87: 23-28.


  22. G Zhou, S Zhang*. An M Estimation Based on Outliers Separation. 2022,  4th IEEE International Conference on Intelligent Control, Measurement and Signal Processing.

  23. N. Fan, S. Zhang*, Y. Li and J. Han. A Denoising Method of Hyperspectral Remote Sensing Image Based on Wavelet Transform. 2021, 28th International Conference on Geoinformatics.

  24. J Han, S Zhang, Z Ye. The effect of deblurring on motion blurred remote sensing image registration. 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium.

  25. J Han, Z Ye, S Zhang*. The Effect of Deblurring on matching of motion blurred remote sensing images. 2021, 41th Annual IGARSS symposium.

  26. J Han, S Zhang*, Z Ye. Combined Patch-Wise Minimal-Maximal Pixels Regularization for Deblurring.  2020, 26th ISPRS Congress.

  27. J Han, S Zhang*, Y Li, Z Dong, X Zhang. An Improved Weighted Total Least-Squares for Condition Equation and Corresponding Bias-Corrected Method. 2018, GeoInformatics 2018.