邮箱：

wuzhongqiang@hainnu.edu.cn

教育背景：

(1)2018-09至2022-06,南京大学,地理学,博士

(2) 2013-09至2016-06,上海海洋大学,海洋科学,硕士

(3) 2008-09至2012-06,山东农业大学,遥感科学与技术、计算机科学与技术(双) ,学士

社会兼职：

研究领域：

1. 水深遥感

2. 珊瑚礁遥感

3. 海洋信息化

4. 人工智能与教育

研究课题：

(1)海南师范大学,校级课程改革项目, hsjg2023-07,基于OBE理念的《数据结构》 教学设计持续改进方

法与实践研究, 2023-01至 今,在研,主持

(2)中共海南省委,省人才项目-“南海新星”, NHXXRCXM202316,基于航空高光谱遥感的造礁珊瑚覆盖率

监测研究, 2023-09至2026-08在研,主持

(3)海南省科技厅,海南省自然科学基金青年基金, 424QN253,基于多源卫星数据的海南港口水深遥感反

演研究, 2024-01至2025-12,在研,主持

学术成果/奖励与荣誉简介：

1. Zhongqiang Wu ; Bangyi Tao ; Zhihua Mao ; Haiqing Huang ; Bathymetry Retrieval Algorithm Based on Hyperspectral Features of Pure Water Absorption from 570 to 600 nm, IEEE Transactions on Geoscienceand Remote Sensing, 2023, 61: 1-19    

2. Wu Z, Zhao Y, Wu S, Chen H, Song C, Mao Z, Shen W. Satellite-Derived Bathymetry Using a Fast Feature Cascade Learning Model in Turbid Coastal Waters. Journal of Remote Sensing. 2024 Sep 18;4:0272.

3. Zhao Y, Fang S, Wu Z, et al. A novel spatial graph attention networks for satellite-derived bathymetry in coastal and island waters[J]. Journal of Environmental Management, 2025, 380: 125034.

4. Wu Z, Fang S, Liu Y, Li X, Shen WE, Mao Z, Wu S. Enhancing water depth inversion accuracy in the Yangtze River's Nantong Channel using random forest and coordinate attention mechanisms. Optics Express. 2024 Dec 10;32(26):46657-76.

5. Wu Z, Shen W, Mao Z, Wu S. Rapid advancements in large language models for quantitative remote sensing: The case of water depth inversion. Science of Remote Sensing. 2024 Dec 1;10:100166.

6. Wu Z, Liu Y, Fang S, Shen W, Mao Z, Wu S. Integration of geographic features and bathymetric inversion in the Yangtze River's Nantong Channel using gradient boosting machine algorithm with ZY-1E satellite and multibeam data. Geomatica. 2024 Dec 1;76(2):100027.

7. Fang S, Wu Z, Wu S, Chen Z, Shen W, Mao Z. Enhancing Water depth inversion accuracy in turbid coastal environments using random forest and coordinate attention mechanisms. Frontiers in Marine Science. 2024 Nov 7;11:1471695.

8. Wu, Zhongqiang ; Mao, Zhihua ; Shen, Wen ; Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports, REMOTE SENSING, 2021, 13(21): 4328

9. wu zhongqiang ; zhihua mao ; Shen wei ; Dapeng Yuan ; Xianliang Zhang ; huang haiqing ; Satellite-derived bathymetry based on machine learning models and an updated quasi-analytical algorithm approach, Optics Express, 2022, 30(10): 16773-16773

10. Wu Z, Wu S, Yang H, Mao Z, Shen W. Enhancing Water Depth Estimation from Satellite Images Using Online Machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data. Remote Sensing. 2023; 15(20):4955. https://doi.org/10.3390/rs15204955.

11. Shen W, Wang J,Zhongqiang Wu et al. Research on Bathymetric Inversion Capability of Different Multispectral Remote Sensing Images in Seaports[J]. Sensors, 2023, 23(3): 1178.

12. Shen, M. Chen, Z. Wu and J. Wang, "Shallow-Water Bathymetry Retrieval Based on an Improved Deep Learning Method Using GF-6 Multispectral Imagery in Nanshan Port Waters," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 8550-8562, 2023, doi: 10.1109/JSTARS.2023.3310166.

13. Wang Z, Mao Z, Zhang L, Zhang X, Yuan D, Li Y, Wu Z, Huang H, Zhu Q. Observations of the Impacts of Hong Kong International Airport on Water Quality from 1986 to 2022 Using Landsat Satellite. Remote Sensing. 2023 Jun 16;15(12):3146.

14. Heng C, Liu G, Wu Z. Application of Backpropagation (BP) Neural Networks for Satellite-Derived Bathymetry Using Sentinel-2 Data: Accurate Depth Estimation in Coastal Environments[J]. Marine Geodesy, 2025: 1-27.

15. 吴忠强;毛志华;王正;邱耀炜;沈蔚;基于极限学习机的浅海水深遥感反演研究,海洋测绘,2019, 39(3): 11-15

16. 沈蔚,纪茜, ….吴忠强等 基于高光谱遥感的长江口叶绿素a浓度反演推算[J].水生态学杂志, 2021, 42):6.

17. 沈蔚,纪茜,邱耀炜,等.基于耀斑改正的多光谱水深反演方法研究[J].海洋技术学报, 2019, 38(5):5.DOI:CNKI:SUN:HYJS.0.2019-05-001.

18. 吴忠强,毛志华,王正,等.基于多源影像融合去云的水深遥感反演研究——以哨兵-2A和资源三号为例[J].测绘与空间地理信息, 2019, 42(11):5.DOI:CNKI:SUN:DBCH.0.2019-11-004.

19. 郭晓雷,邱振戈,沈蔚,et al.基于WorldView-2遥感影像的龙湾港浅海水深反演[J].海洋学研究, 2017, 35(3):7.DOI:10.3969/j.issn.1001-909X.2017.03.004.

20. WU Zhongqiang,吴忠强,SHEN Wei,等.基于Worldview-2多光谱卫星数据的浅水水深遥感反演[C]//中国测绘地理信息学会.中国测绘地理信息学会, 2015.

21. 冯永玖,方学燕,陈新军,et al.基于GIS的西北太平洋柔鱼资源空间插值及不确定性分析[J].资源科学, 2015, 37(11):10.DOI:CNKI:SUN:ZRZY.0.2015-11-022.

22. 吴忠强,吴淑雷,陈焕东,等.一种基于纯水吸收高光谱特征的水深反演方法.CN202211344475.3.专利

23. 吴忠强,吴淑雷,陈焕东,等.一种结合LIDAR水深数据的高光谱海底反射率反演方法.CN202211524581.X[2024-01-25]..

24. 毛志华,吴忠强,陶邦一,等.一种基于利用改进的四波段遥感影像QAA算法水质反演结果反演水深的方法:CN202111020396.2[P].CN202111020396.2.专利