的个人主页 http://grzy.cug.edu.cn/chentao
【个人简介】
陈涛,男,汉族,博士,副教授,2019年6月被聘为博士生导师。现任中国地质大学地球信息科学与技术系系主任,历任系副主任、系党支部副书记、系党支部书记;国家自然科学基金通讯评审专家;教育部学位与研究生教育发展中心通讯评议专家;北京市自然科学基金评审专家;《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》AE、编委;《Journal of Mountain Science》编委;《Natural Hazards Research》青年编委;IEEE Senior Member (2021.4-),IEEE GRSS Wuhan Chapter主席(2024.01-2026.12),中国地质学会会员,中国图形图象协会会员,中国图形图象协会遥感图像专业委员会委员,中国人工智能学会青年工作委员会委员,中国岩土力学与工程学会会员,河南省自然资源科技创新中心(信息感知技术应用研究)学术专委会委员。主要从事地学信息智能表达与计算、地质灾害遥感信息处理等方面的研究工作。获湖北省科技进步三等奖1次。近五年主持和参与相关纵向研究课题10余项,其中主持国家自然科学基金4项,湖北省自然科学基金面上项目1项,湖北省重点研发计划项目课题1项。以第一/通讯作者发表国内外学术期刊论文共计50余篇(其中ESI热点论文1篇,ESI高被引论文2篇,T2及以上论文19篇,Top期刊10余篇,2021年度武汉大学学报优秀论文1篇)。出版专著2部。2015年10月至2016年10月受国家留学基金委资助,在澳大利亚新南威尔士大学访问一年。
【联系方式】
电子邮箱:taochen@cug.edu.cn
【主要研究方向】
1、地学信息智能表达与计算
2、地质环境监测与评价
3、地球空间信息
【学术兼职】
期刊编委:
《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》
《Journal of Mountain Science》
《Natural Hazards Research》
期刊编辑:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing
学术会议委员:
Section Chair of SESSION 22: SUPERVISED LEARNING I in IEEE International Conference on Data Mining 2020 (IEEE-ICDM-2020)
Programme Committee of IEEE International Conference on Data Mining2024、2022、 2021、2020、2018 (IEEE-ICDM-2024、2022、2021、2020、2018)
第三届环境与地球科学国际学术研讨会共同主席(Co-Chair of IWEG2020)
第二、三届阿拉伯地球科学杂志会议科学委员会委员(Conference Scientific Committee of the 2nd/3rd CAJG)
Programme Committee of International Joint Conferences on Artificial Intelligence 2021、2020 (IJCAI-PRICAI-2021、2020)
【教学工作】
讲授本科生课程:《遥感导论》、《地球信息科学与技术专业教学实习》、《遥感原理与应用》、《遥感学基础》、《环境遥感》、《遥感信息处理与实践》、《地球信息科学与技术专业实习》
讲授研究生课程:《地球信息科学案例教学》、《矿山地质环境监测》、《遥感信息模型》
承担的教学项目:
1、 中国地质大学(武汉)研究生课程思政项目(YSZ08)——“遥感信息模型”,2023年-2024年,项目负责人
2、 中国地质大学(武汉)研究生高水平课程建设项目(重点)(YKC2020201)——“遥感信息模型”,2020年-2022年,项目负责人
3、 中国地质大学(武汉)研究生教育教学改革研究项目 (YJG2017211)——“地球信息技术专业学位研究生实践能力培养研究”,2017年-2019年,项目负责人
4、 中国地质大学(武汉)教学项目——“‘地球信息技术卓越工程师计划’培养方案课程体系研究与实践”,2015年-2017年,项目负责人
5、 湖北高校省级教学研究项目——“创新能力培养驱动GIS课程教学改革探索”,2016年-2018年,排名第2
6、 湖北高校省级教学研究项目——“地球信息科学与技术专业实践教学培养模式研究”,2013年-2015年,项目骨干
【获得奖励方面】:
1、 湖北省科技进步三等奖(2023年)(R4);
2、 2021年中国地质大学(武汉)本科毕业论文“优秀指导教师奖” ;
3、 2020年中国地质大学(武汉)本科毕业论文“优秀指导教师奖” ;
4、 2020年国家级大学生创新创业训练计划项目“优秀指导教师”;
5、 2019年中国地质大学(武汉)本科毕业论文“优秀指导教师奖” ;
6、 2019年中国地质大学(武汉)“校级优秀班主任”(全校班主任10%);
7、 2018年作为班主任所带064181班被评为中国地质大学(武汉)“先进班集体标兵”;
8、 2015、2017、2022年度学校本科教学质量评价中获评优秀(排名前10%)
【主要科研项目经历】(近5年)
1、 国家自然科学基金面上基金项目,2024年-2027年,主持
2、 国家自然科学基金面上基金项目,2021年-2024年,主持
3、 国家自然科学基金青年科学基金项目,2017年-2019年,主持
4、 国家自然科学基金面上基金项目,2019年-2022年,参与 (排名第2)
5、 湖北省自然科学基金面上基金项目,2013年-2015年,主持
6、 湖北省重点研发计划项目,2022年-2024年,课题负责人
7、 河北沧州平原区地下水与地面沉降国家野外科学观测研究站开放基金,2023年-2024年,主持
8、 自然资源部地理国情监测重点实验室开放基金,2023年-2024年,主持
9、 巴东国家野外站开放基金课题,2023年-2025年,主持
10、 遥感科学国家重点实验室开放研究基金,2022年-2024年,主持
11、 地质灾害防治与地质环境保护保护国家重点实验室开放基金,2022年-2024年,主持
12、 中国地质调查局武汉地质调查中心地调协作项目,2020年-2020年,主持
13、 城市空间信息工程北京市重点实验室开放基金,2021.1-2022.12,主持
14、 祁连山国家公园青海研究中心开放课题,2020.1-2021.12,主持
15、 青海省地理信息中心开放课题,2020.1-2021.12,主持
16、 湖南省测绘科技研究所开放课题,2020.1-2020.12,主持
17、 河南省地质环境监测院委托项目——“河南省矿山地质环境动态监测项目遥感解译”,2018.3-2018.12,参与(技术负责人)
18、 河南省地质环境监测院委托项目——“河南省矿山地质环境动态监测项目(2017年)遥感数据处理”,2017.7-2018.3,参与(技术负责人)
19、 河南省地质环境监测院委托项目——“河南省矿山地质环境动态监测遥感解译”,2016.11-2017.6,参与(技术负责人)
【主要论文专著】
专著:
1. 陈涛. 流域尺度植被覆盖度遥感反演及对泥沙沉积的影响研究,中国地质大学出版社,978-7-5625-4954-3,2020.
2. 王西平,陈涛,等. 露天矿地质环境解译标志体系和信息提取方法的研究及示范应用,黄河水利出版社,978-7-5509-2828-2,2020.
近5年主要期刊论文(Selected Journal Articles)(*表示通讯作者):
2024
1. T. Chen, L. Lv, D. Wang, J. Zhang*, Y. Yang, Z. Zhao, C. Wang, X. Guo, H. Chen, Q. Wang, Y. Xu, Q. Zhang, B. Du*, L. Zhang, and D. Tao. Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey. ACM Computing Surveys, 2024. Accepted (T1) (Top期刊)
2. H. Chen, T. Chen*, Y. Zhang, B. Du, A. Plaza. DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder. IEEE J-STARS, 2024. 17: 115746-15760. (T2) (Top期刊)
3. J. Pan, Z. Wang, T. Chen*, K. Jia, A. Plaza. Spatial and temporal change monitoring of wetland urban ecology based on a remote sensing ecological index considering full elements. IEEE J-STARS, 2024. 17: 14010 - 14020. (T2) (Top期刊)
4. C. Li, T. Chen*, K. Jia, A. Plaza. Coupling Analysis Between Ecological Environment Change and Urbanization Process in the Middle Reaches of Yangtze River Urban Agglomeration, China. IEEE J-STARS, 2024. 17: 880 - 892. (T2) (Top期刊)
5. 郭骁玮, 陈涛*. 考虑季节性特征的矿区地面沉降时空预测. 遥感学报, DOI: 10.11834/jrs.20243488. (T2)
6. Y. Yang, T. Chen*, T. Lei, B. Du, A. Nandi, and A. Plaza, SEDANet: A New Siamese Ensemble Difference Attention Network for Building Change Detection in Remotely Sensed Images. IEEE TGRS, 2024. 62: 1-16, Art no. 4405316. (T1) (Top期刊)
7. 赵贺文, 陈涛*. 基于TSC-LSTM的新密市地面沉降预测模型研究. 遥感学报. DOI: 10.11834/jrs.20243530 (T2)
8. Z. Zhao, T. Chen*, J. Dou, G. Liu, and A. Plaza, Landslide Susceptibility Mapping Considering Landslide Local-global Features Based on CNN and Transformer. IEEE J-STARS, 2024. 17: 7475-7489. (T2) (Top期刊)
9. T. Chen*, Q. Wang, Z. Zhao, G. Liu, J. Dou and A. Plaza, LCFSTE: Landslide Conditioning Factors and Swin Transformer Ensemble for Landslide Susceptibility Assessment. IEEE J-STARS, 2024. 17: 6444-6454. (T2) (Top期刊)
10. T. Chen*, X. Gao, G. Liu, C. Wang, Z. Zhao, J. Dou, R. Niu, A. Plaza. BisDeNet: A New Lightweight Deep Learning-based Framework for Efficient Landslide Detection. IEEE J-STARS, 2024. 17: 3648-3663. (T2) (Top期刊) (ESI高被引)
11. 谢金凤, 陈涛*. 考虑光谱信息和超像素分割的高光谱解混网络. 遥感学报, 2024. 28(1): 142-153. (T2)
2023
12. R. Huang, T. Chen*. Landslide Recognition from Multi-Feature Remote Sensing Data Based on Improved Transformers. Remote Sensing, 2023. 15(13): 3340. (T2)
13. C. Wang, T. Chen*, A. Plaza. MFE-ResNet: A new extraction framework for land cover characterization in mining areas. Future Generation Computer Systems, 2023. 145: 550-562. (T2)
14. X. Zheng, T. Chen*. High spatial resolution remote sensing image segmentation based on the multiclassification model and the binary classification model. Neural Computing and Applications. 2023. 35: 3597-3604. (T3)
15. Z. Wang, T. Chen*, D. Zhu, K. Jia, A. Plaza. RSEIFE: A New Remote Sensing Ecological Index for Simulating the Land Surface Eco-environment. Journal of Environmental Management. 2023. 326: 116851. (T2)(Top期刊)
16. J. Dong, R. Niu*, T. Chen, L. Dong. Assessing landslide susceptibility using improved machine learning methods and considering spatial heterogeneity for the Three Gorges Reservoir Area, China. Natural Hazards. 2023. 120: 1113–1140. (T2)
17. N. Lin, D. Zhang, S. Feng, K. Ding, L. Tan, B. Wang, T. Chen, W. Li, X. Dai, J. Pan, F. Tang. Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost. Remote Sensing, 2023. 15(15): 3901. (T2)
18. N. Lin, H. Quan, J. He, S. Li, M. Xiao, B. Wang, T. Chen, X. Dai, J. Pan, N. Li. Urban Vegetation Extraction from High-Resolution Remote Sensing Imagery on SD-UNet and Vegetation Spectral Features. Remote Sensing, 2023. 15(18): 4488. (T2)
2022
19. T. Chen*, Y. Liu, Y. Zhang, B. Du, A. Plaza. Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing, IEEE TGRS, 2022. 60: 1-16, Art no. 5529216.(T1) (Top期刊)
20. T. Chen*, X. Zheng, R. Niu, A. Plaza. Open-pit Mine Area Mapping with Gaofen-2 Satellite Images using U-Net+. IEEE J-STARS, 2022. 15: 3589-3599. (T2) (Top期刊)
21. T. Chen*, Z. Lu, Y. Yang, Y. Zhang, B. Du, A. Plaza. A Siamese Network based U-Net for Change Detection in High Resolution Remote Sensing Images. IEEE J-STARS, 2022.15: 2357 - 2369. (T2) (Top期刊)
22. L. Lv, T. Chen*, J. Dou, A. Plaza. A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping. International Journal of Applied Earth Observation and Geoinformation, 2022. 108: 102713. (T1) (Top期刊)(ESI热点&高被引)
23. G. Li, S. Liu, X. Jian, D. Zhu, L. Fu, T. Chen, X. Hu. Identifying the Lineament Structure Cooperatively Using the Airborne Gravimetric, Magnetic and Remote Sensing Data: A Case Study from the Pobei Area, NW China. IEEE TGRS, 2022. 60: 1-17, Art no. 5921717. (T1) (Top期刊)
24. L. Zhao, R. Niu, B. Li, T. Chen, Y. Wang. Application of Improved Instance Segmentation Algorithm Based on VoVNet-v2 in Open-Pit Mines Remote Sensing Pre-Survey. Remote Sensing, 2022. 14(11): 2626. (T2)
2021
25. L. Wan, T. Chen*, A. Plaza, and H. Cai. Hyperspectral unmixing based on spectral and sparse deep convolutional neural networks. IEEE J-STARS. 2021. 14: 11669-11682. (T2) (Top期刊)
26. T. Liu, T. Chen*, R. Niu, A. Plaza. Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China. IEEE J-STARS. 2021. 14: 11417-11428. (T2) (Top期刊)
27. D. Zhu, T. Chen*, Z. Wang, R. Niu. Detecting ecological spatial-temporal changes by Remote Sensing Ecological Index with local adaptability. Journal of Environmental Management. 2021. 299: 113655. (T2)(Top期刊)
28. X. Gao, T. Chen*, R. Niu, A. Plaza. Recognition and Mapping of Landslide Using a Fully Convolutional DenseNet and Influencing Factors. IEEE J-STARS. 2021. 14: 7881-7894. (T2) (Top期刊)
29. H. Cai, T. Chen*, R. Niu, A. Plaza. Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions. IEEE J-STARS. 2021. 14: 5235-5247. (T2) (Top期刊)
30. 朱冬雨, 陈涛*, 牛瑞卿, 甄娜. 利用移动窗口遥感生态指数分析矿区生态环境 武汉大学学报·信息科学版, 2021. 46(3): 341-347. (T4) (2021年度优秀论文)
31. 胡乃勋, 陈涛*, 甄娜, 牛瑞卿. 基于卷积神经网络的面向对象露天采场提取. 遥感技术与应用. 2021. 36(2): 265-274. (T5)
32. K. Wu, T. Chen, Y. Xu, D. Song, H. Li. A Novel Change Detection Approach Based on Spectral Unmixing from Stacked Multitemporal Remote Sensing Images with a Variability of Endmembers. Remote Sensing. 2021, 13, 2550. (T2)
33. Y. Zhang, Y. Dong, K. Wu, T. Chen, Hyperspectral Anomaly Detection with Otsu-based Isolation Forest, IEEE J-STARS, 2021. 14: 9079 - 9088. (T2)
34. D. Xue, T. Lei*, X. Jia, X. Wang, T. Chen, A. K. Nandi. Unsupervised Change Detection Using Multiscale and Multiresolution Gaussian-Mixture-Model Guided by Saliency Enhancement. IEEE J-STARS. 2021. 14: 1796 - 1809. (T2)
35. 霍光杰,胡乃勋,陈涛,甄娜. 融合支持向量机和面向对象方法的矿区土地利用信息提取. 河南理工大学学报(自然科学版). 2021. 40(2): 70–75.(T5)
2020
36. D. Zhu, T. Chen*, N. Zhen, R. Niu. Monitoring the effects of open-pit mining on the eco-environment using a moving window-based remote sensing ecological index. Environmental Science and Pollution Research. 2020. 27(13): 15716–15728. (T2)
37. T. Chen*, N. Hu, R. Niu, N. Zhen, A. Plaza. Object-Oriented Open-Pit Mine Mapping Using Gaofen-2 Satellite Image and Convolutional Neural Network, for the Yuzhou City, China. Remote Sensing. 2020. 12(23): 3895. (T2)
38. T. Chen*, L. Zhu, R. Niu, J. Trinder, L. Peng, T. Lei. Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models. Journal of Mountain Science. 2020. 17(3): 670-685. (T4)
39. 陈涛*, 钟子颖, 牛瑞卿, 刘桐, 陈胜云. 利用深度信念网络进行滑坡易发性评价. 武汉大学学报·信息科学版, 2020. 45(11): 1809-1817.(T4)
40. 董佳慧, 陈涛*, 王西平. 康保县1987~2016 年植被覆盖度动态变化分析. 地理空间信息, 2020. 18(2): 99-102. (T5)
41. Y. Wu, R. Niu, Y. Wang, T. Chen. A fast deploying monitoring and real-time early warning system for the Baige Landslide in Tibet, China. Sensors. 2020. 20(22): 6619. (T2)
2019
42. T. Chen*, A. Sun, R Niu. Effect of Land Cover Fractions on Changes in Surface Urban Heat Islands Using Landsat Time-Series Images. International Journal of Environmental Research and Public Health. 2019, 16(6): 971. (T2)
43. Y. Yang*, K. Wu, Y. Wang, T. Chen, X. Wang. Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas. Sensors. 2019, 19(21): 4685. (T2)
44. Y. Song, R. Niu*, S. Xu, R. Ye, L. Peng, T. Guo, S. Li, T. Chen. Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China). ISPRS International Journal of Geo-Information, 2019, 8(1): 4. (T4)
2018
45. 刘坚,李树林,陈涛. 基于优化随机森林模型的滑坡易发性评价. 武汉大学学报·信息科学版, 2018, 43(7): 1085-1091. (T4)(入选“领跑者5000——中国精品科技期刊顶尖学术论文(F5000)”)
近5年会议论文(Conference Articles):
1. L. Lv, T. Chen*, J. Li. An Interpretation Study on the ML Models for Landslide Susceptibility Mapping. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 7241-7244, Pasadena, CA, USA, July 16 - July 21, 2023. Poster.
2. X. Guo, T. Chen*, J. Li. Inversion and prediction of time-varying surface subsidence in coal mines by combining SBAS-InSAR and time-series prediction algorithms. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 5214-5217, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
3. Y. Liu, T. Chen*, J. Li. Prediction of InSAR Urban Surface Time-Series Deformation Using Deep Neural Networks. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 5206-5209, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
4. C. Li, T. Chen*, J. Li. Comparative Analysis of the Coupling Coordinatioin Degree Between Ecological Environment and Urbanization in Major Urban Agglomerations in Yangtze River Economic Zone. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 3675-3678, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
5. Y. Yang, T. Chen*, J. Li. SRNet: Siamese Residual Network for Remote Sensing Change Detection. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 6644-6647, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
6. Z. Zhao, T. Chen*, J. Li. Compact Convolutional Transformer for Landslide Susceptibility Mapping. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 2568-2571, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
7. C. Wang, T. Chen*. Object-Oriented Extraction of Land Occupation Types in Mining Areas by Using Densenet. In 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2022), July 17 - July 22, 2022, Virtual, Kuala Lumpur, Malaysia. Oral.
8. T. Liu, T. Chen*. A Comparation of CNN and DENSENET for Landslide Detection. In 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021), July 12 - July 16, 2021, Virtual, Brussels, Belgium. Oral.
9. G. Xiao, T. Chen*. Post-Earthquake Landslide Extraction Based on Feature Expansion U-NET Model. In 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021), July 12 - July 16, 2021, Virtual, Brussels, Belgium. Oral.
10. Z. Lu, T. Chen*. InSAR Deformation Monitoring and 3D Modeling of Landslides in Jinsha River Basin. In the 41st Asian Conference on Remote Sensing (ACRS2020), Deqing, China, November 9 - November 11, 2020. Oral.
11. H. Cai, T. Chen*. Multi-Dimension CNN for Hyperspectral Image Classificaton. In 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2020), September 26 - October 2, 2020, Virtual, Waikoloa, HI, United states. Oral.
12. X. Zheng, T. Chen*. Segmentation of High Spatial Resolution Remote Sensing Image Based on U-Net Convolutional Networks. In 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2020), September 26 - October 2, 2020, Virtual, Waikoloa, HI, United states. Oral.
13. N. Hu, T. Chen*, R. Niu, N. Zhen. Object-oriented open pit extraction based on convolutional neural network, a case study in Yuzhou, China. In 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), Yokohama, Japan, July 28 - Auguest 2, 2019. Oral.
14. D. Zhu, T. Chen*, R. Niu, N. Zhen. Ecological environment assessment of mining area by using moving window-based remote sensing ecological index. In 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), Yokohama, Japan, July 28 - Auguest 2, 2019. Poster.
【近5年指导学生获奖情况】
1. 2012年指导2008级本科生胡卉的学士学位论文《基于GIS技术的长江三峡巴东段滑坡空间预测》获湖北省优秀学士学位论文。
2. 2023年指导硕士研究生刘桐同学的硕士学位论文《基于生成对抗网络的样本扩充策略在滑坡识别中的应用》获校级优秀硕士学位论文。
3. 2021年指导硕士研究生蔡浩杰同学的硕士学位论文《基于卷积神经网络的区域滑坡识别》获校级优秀硕士学位论文。
4. 2020年指导硕士研究生朱冬雨同学的硕士学位论文《具有局部适应性的遥感生态指数研究及应用》获校级优秀硕士学位论文。
5. 2021年指导2017级本科生王晨的学士学位论文《面向对象的高分二号影像矿区信息提取研究》获校级优秀学士学位论文,本人获优秀指导教师奖。
6. 2020年指导2016级本科生刘桐的学士学位论文《基于多源遥感数据的滑坡信息提取》获校级优秀学士学位论文,本人获优秀指导教师奖。
7. 2019年指导2015级本科生梁梦姣的学士学位论文《基于面向对象方法的ZY-3影像滑坡遥感信息提取对比分析》获校级优秀学士学位论文,本人获优秀指导教师奖;
8. 2020年指导4名本科生获批的省级大学生创新创业训练项目,结题时被评为优秀。
9. 2020年指导研究生获第三十一届中国地质大学(武汉)学生科技论文报告会研究生组校级三等奖。
10. 2020年指导2018级2名本科生获第三十一届中国地质大学(武汉)学生科技论文报告会本科生组校级二等奖,院级一等奖。
11. 2019年指导研究生获第三十届中国地质大学(武汉)学生科技论文报告会研究生组校级三等奖。
12. 2018年指导2015级2名本科生获第二十九届中国地质大学(武汉)学生科技论文报告会本科生组校级一等奖,院级一等奖。
【人才培养】
1、在读研究生:
博士研究生:
2023级:
潘娇
2022级
李伟
2021级
吕良
硕士研究生:
2023级:
李雨琛
2022级:
李欣然、黄衡、王姝祺
2、已毕业研究生:
2014级
1. 张叙葭
毕业去向:福建省自然资源档案馆(2020-),福建省测绘院(2016-2020);
论文题目:基于Landsat 8 的城市地表物质丰度与热环境关系研究;
攻读硕士研究生期间成果:
1) 张叙葭, 陈涛*, 牛瑞卿, 孙安昌. 城市地表端元丰度与地表亮温关系研究. 遥感信息, 2017, 32(2): (T5)
2) T. Chen*, X. Zhang, R Niu. The Relationship between Urban Land Surface Material Fractions and Brightness Temperature Based on MESMA. Remote Sensing. 2017, 9(6): 532. (T2)
2. 孙安昌
毕业去向:北京洛斯达数字遥感技术有限公司;
论文题目:基于多端元混合像元分解的地表丰度变化与城市热岛效应关系研究;
攻读硕士研究生期间成果:
1) A. Sun, T. Chen*, R. Niu, J. Trinder. Land use/cover change and the urbanization process in the Wuhan area from 1991 to 2013 based on MESMA. Environmental Earth Sciences. 2016, 75(17): 1214. (T3)
2) T. Chen*, A. Sun, R Niu. Effect of Land Cover Fractions on Changes in Surface Urban Heat Islands Using Landsat Time-Series Images. International Journal of Environmental Research and Public Health. 2019, 16(6), 971. (T2)
3) 孙安昌, 陈涛*, 张叙葭. 武汉市1991~2013年城市扩张与地表覆盖变化研究. 地理空间信息, 2016, 14(12): 33-36. (T5)
4) 陈涛*, 孙安昌, 王鑫等. 基于遥感的武汉地区LUCC对热岛效应的影响研究. 地理空间信息, 2015, 13(1): 62-64. (T5)
5) A. Sun, T. Chen*, R. Niu. Urbanization Analysis in Wuhan Area From 1991 To 2013 Based On MESMA. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2016), Beijing, China, July 10 - July 15, 2016. Oral.
2015级
1. 钟子颖
毕业去向:湖北省环境科学研究院;
论文题目:基于深度学习的滑坡易发性评价;
攻读硕士研究生期间成果:
1) T. Chen*, Z. Zhong, R. Niu. Landslide spatial susceptibility mapping by using deep belief network. In 2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA2018), Xi’an, China, June 18 – Jun3 20, 2018. Oral.
2) 陈涛*, 钟子颖, 牛瑞卿, 刘桐, 陈胜云. 利用深度信念网络进行滑坡易发性评价. 武汉大学学报·信息科学版, 2020. 45(11): 1809-1817. (T4)
2. 朱丽
毕业去向:安徽省地质矿产勘查局313地质队;
论文题目:基于Boosting理论的滑坡易发性评价模型研究
攻读硕士研究生期间成果:
1) T. Chen*, L. Zhu, R. Niu, J. Trinder, L. Peng, T. Lei. Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models. Journal of Mountain Science. 2020. 17(3): 670-685. (T4)
2017级
1. 朱冬雨 校级优秀毕业生
毕业去向:武汉大学攻读博士学位,导师:周春霞
论文题目:具有局部适应性的遥感生态指数研究及应用;校级优秀硕士学位论文
攻读硕士研究生期间成果:
1) D. Zhu, T. Chen*, Z. Wang, and R. Niu, Detecting ecological spatial-temporal changes by Remote Sensing Ecological Index with local adaptability, Journal of Environmental Management. 2021. 299: 113655. (T2) (Top期刊)
2) D. Zhu, T. Chen*, N. Zhen, R. Niu. Monitoring the effects of open-pit mining on the eco-environment using a moving window-based remote sensing ecological index. Environmental Science and Pollution Research. 2020, 27(13): 15716–15728. (T2)
3) 朱冬雨, 陈涛*, 牛瑞卿, 甄娜. 利用移动窗口遥感生态指数分析矿区生态环境 武汉大学学报·信息科学版, 2021. 46(3): 341-347. (T4) (2021年度优秀论文)
4) D. Zhu, T. Chen*, R. Niu, N. Zhen. Ecological environment assessment of mining area by using moving window-based remote sensing ecological index. In 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), Yokohama, Japan, July 28 - Auguest 2, 2019. Poster.
2. 李宇航
毕业去向:国防科技大学电子科学学院智能感知系;
论文题目:城市地表丰度与地表亮温关系定量研究
攻读硕士研究生期间成果:
3. 胡乃勋
毕业去向:中铁大桥科学研究院有限公司
论文题目:面向对象结合卷积神经网络在矿山信息提取中的应用研究
攻读硕士研究生期间成果:
1) T. Chen*, N. Hu, R. Niu, N. Zhen, A. Plaza. Object-Oriented Open-Pit Mine Mapping Using Gaofen-2 Satellite Image and Convolutional Neural Network, for the Yuzhou City, China. Remote Sensing. 2020. 12(23): 3895. (T2)
2) 胡乃勋, 陈涛*, 甄娜, 牛瑞卿. 基于卷积神经网络的面向对象露天采场提取. 遥感技术与应用. 2021. 36(2): 265-274. (T5)
2) N. Hu, T. Chen*, R. Niu, N. Zhen. Object-oriented open pit extraction based on convolutional neural network, a case study in Yuzhou, China. In 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), Yokohama, Japan, July 28 - Auguest 2, 2019. Oral.
2018级:
1. 蔡浩杰 校级优秀毕业生
毕业去向:中国地质调查局西安地质调查中心
论文题目:基于卷积神经网络的区域滑坡识别;校级优秀硕士学位论文
攻读硕士研究生期间成果:
1) H. Cai, T. Chen*, R. Niu, A. Plaza. Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions. IEEE J-STARS. 2021. 14: 5235-5247. (T2) (Top期刊)
2) H. Cai, T. Chen*. Multi-Dimension CNN for Hyperspectral Image Classificaton. In 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2020), Virtual Symposium, September 26 - October 2, 2020. Oral.
2. 路志远 校级优秀毕业生
毕业去向:中国铁道科学研究院
论文题目:基于孪生网络的遥感影像变化检测
攻读硕士研究生期间成果:
1) T. Chen*, Z. Lu, Y. Yang, Y. Zhang, B. Du and A. J. Plaza. A Siamese Network based U-Net for Change Detection in High Resolution Remote Sensing Images. IEEE J-STARS, 2022. 15: 2357 - 2369. (T2) (Top期刊)
2) Z. Lu, T. Chen*. InSAR Deformation Monitoring and 3D Modeling of Landslides in Jinsha River Basin. In the 41st Asian Conference on Remote Sensing (ACRS2020), Deqing, China, November 9 - November 11, 2020. Oral.
3. 郑晓雄 校级优秀毕业生 校级优秀学生共产党员
毕业去向:生态环境部卫星环境应用中心
论文题目:基于深度学习的高空间分辨率遥感影像分类研究及应用
攻读硕士研究生期间成果:
1) T. Chen*, X. Zheng, R. Niu, A. Plaza. Open-pit Mine Area Mapping with Gaofen-2 Satellite Images using U-Net+. IEEE J-STARS, 2022. 15: 3589-3599. (T2) (Top期刊)
2) X. Zheng, T. Chen*. High spatial resolution remote sensing image segmentation based on the multiclassification model and the binary classification model. Neural Computing and Applications. 2023. 35: 3597-3604. (T3)
3) X. Zheng, T. Chen*. Segmentation of High Spatial Resolution Remote Sensing Image Based on U-Net Convolutional Networks. In 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2020), Virtual Symposium, September 26 - October 2, 2020. Oral.
4. 万璐璐
毕业去向:广东省地质工程公司
论文题目:基于线性和非线性模型的高光谱解混技术研究
攻读硕士研究生期间成果:
1) L. Wan, T. Chen*, A. J. Plaza, and H. Cai. Hyperspectral unmixing based on spectral and sparse deep convolutional neural networks. IEEE J-STARS, 2021. 14: 11669-11682. (T2) (Top期刊)
5. 吕良
毕业去向:中国地质大学(武汉)攻读博士学位,导师:陈涛
论文题目:基于集成深度学习模型的区域滑坡易发性评价
攻读硕士研究生期间成果:
1) L. Lv, T. Chen*, J. Dou and A. J. Plaza. A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping. International Journal of Applied Earth Observation and Geoinformation, 2022. 108: 102713. (T1)(ESI热点&高被引)
6. 刘洋
毕业去向:二十一世纪空间应用股份有限公司
论文题目:高光谱图像稀疏解混算法研究
攻读硕士研究生期间成果:
1) T. Chen*, Y. Liu, Y. Zhang, B. Du and A. Plaza, Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing, IEEE TGRS, 2022. 60: 1-16, Art no. 5529216. (T1)
2019级:
1. 高筱 2021国家奖学金 校级优秀毕业生
毕业去向:同济大学攻读博士学位,导师:陆平
论文题目:基于深度学习语义分割的滑坡识别与制图
攻读硕士研究生期间成果:
1) X. Gao, T. Chen*, R. Niu and A. J. Plaza. Recognition and Mapping of Landslide Using a Fully Convolutional DenseNet and Influencing Factors. IEEE J-STARS, 2021. 14: 7881-7894. (T2) (Top期刊)
2) G. Xiao, T. Chen*. Post-Earthquake Landslide Extraction Based on Feature Expansion U-NET Model. In 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021), Virtual Symposium, July 12 - July 16, 2021. Oral.
3) T. Chen*, X. Gao, G. Liu, C. Wang, Z. Zhao, J. Dou, R. Niu, A. Plaza. BisDeNet: A New Lightweight Deep Learning-based Framework for Efficient Landslide Detection. IEEE J-STARS, 2024. 17: 3648-3663. (T2) (Top期刊)
2020级:
1. 刘桐 (保研) 2022国家奖学金 校级优秀毕业生
毕业去向:新建元集团.苏州工业园区测绘地理信息公司
论文题目:基于生成对抗网络的样本扩充策略在滑坡识别中的应用;校级优秀硕士学位论文
攻读硕士研究生期间成果:
1) T. Liu, T. Chen*, R. Niu, A. Plaza. Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China. IEEE J-STARS. 2021. 14: 11417-11428. (T2) (Top期刊)
2) 陈涛*, 钟子颖, 牛瑞卿, 刘桐, 陈胜云. 利用深度信念网络进行滑坡易发性评价. 武汉大学学报·信息科学版, 2020. 45(11): 1809-1817. (T4)
3) T. Liu, T. Chen*. A Comparation of CNN and DENSENET for Landslide Detection. In 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021), July 12 - July 16, Virtual, Brussels, Belgium. 2021, Oral.
2. 王紫薇 校级优秀毕业生
毕业去向:湖北省地质局第七地质大队
论文题目:考虑空间全要素遥感生态指数的构建与应用
攻读硕士研究生期间成果:
1) Z. Wang, T. Chen*, D. Zhu, K. Jia, A. Plaza. RSEIFE: A New Remote Sensing Ecological Index for Simulating the Land Surface Eco-environment. Journal of Environmental Management. 2023. 326: 116851. (T2)(Top期刊)
2) D. Zhu, T. Chen*, Z. Wang, and R. Niu, Detecting ecological spatial-temporal changes by Remote Sensing Ecological Index with local adaptability, Journal of Environmental Management. 2021. 299: 113655. (T2) (Top期刊)
3) J. Pan, Z. Wang, T. Chen*, K. Jia, A. Plaza. Spatial and temporal change monitoring of wetland urban ecology based on a remote sensing ecological index considering full elements. IEEE J-STARS, 2024. 17: 14010 - 14020. (T2) (Top期刊)
3. 王青叶 校级优秀毕业生
毕业去向:宁波阿拉图数字科技有限公司
论文题目:基于Visual Transformer 模型的滑坡敏感性制图
攻读硕士研究生期间成果:
1) T. Chen*, Q. Wang, Z. Zhao, G. Liu, J. Dou and A. Plaza, LCFSTE: Landslide Conditioning Factors and Swin Transformer Ensemble for Landslide Susceptibility Assessment. IEEE J-STARS, 2024. 17: 6444-6454. (T2) (Top期刊)
4. 刘宇航 校级优秀毕业生
毕业去向:中交第二公路勘察设计研究院有限公司
论文题目:基于MT-InSAR 与深度学习的地面沉降时序预测研究
2021级:
1. 杨玥(保研)
毕业去向:杭州市勘测设计研究院有限公司
论文题目:融合空间语义变化特征的高分辨率遥感影像变化检测;校级优秀硕士学位论文
攻读硕士研究生期间成果:
1) Y. Yang, T. Chen*, T. Lei, B. Du, A. Nandi, and A. Plaza, SEDANet: A New Siamese Ensemble Difference Attention Network for Building Change Detection in Remotely Sensed Images. IEEE TGRS, 2024. 62: 1-16, Art no. 4405316.(T1) (Top期刊)
2) T. Chen*, Z. Lu, Y. Yang, Y. Zhang, B. Du, A. Plaza. A Siamese Network based U-Net for Change Detection in High Resolution Remote Sensing Images. IEEE J-STARS, 2022. 15: 2357 - 2369. (T2) (Top期刊)
2) Y. Yang, T. Chen*, J. Li. SRNet: Siamese Residual Network for Remote Sensing Change Detection. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 6644-6647, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
2. 赵泽阳 (保研)
毕业去向:河北省水文工程地质勘察院(河北省遥感中心)
论文题目:考虑滑坡局部和全局特征的滑坡易发性制图与预测
攻读硕士研究生期间成果:
1) Z. Zhao, T. Chen*, J. Dou, G. Liu, and A. Plaza, Landslide Susceptibility Mapping Considering Landslide Local-global Features Based on CNN and Transformer. IEEE J-STARS, 2024. 17: 7475-7489. (T2) (Top期刊)
2) T. Chen*, Q. Wang, Z. Zhao, G. Liu, J. Dou and A. Plaza, LCFSTE: Landslide Conditioning Factors and Swin Transformer Ensemble for Landslide Susceptibility Assessment. IEEE J-STARS, 2024. 17: 6444-6454. (T2) (Top期刊)
3) T. Chen*, X. Gao, G. Liu, C. Wang, Z. Zhao, J. Dou, R. Niu, A. Plaza. BisDeNet: A New Lightweight Deep Learning-based Framework for Efficient Landslide Detection. IEEE J-STARS, 2024. 17: 3648-3663. (T2) (Top期刊)
4) Z. Zhao, T. Chen*, J. Li. Compact Convolutional Transformer for Landslide Susceptibility Mapping. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 2568-2571, Pasadena, CA, USA, July 16 - July 21, 2023. Poster.
3. 王晨 2023国家奖学金 校级优秀毕业生
毕业去向:中石化石油物探技术研究院有限公司
论文题目:基于轻量化模型的露天矿自动提取
攻读硕士研究生期间成果:
1) C. Wang, T. Chen*, A. Plaza. MFE-ResNet: A new extraction framework for land cover characterization in mining areas. Future Generation Computer Systems, 2023. 145: 550-562. (T2)
2) T. Chen*, X. Gao, G. Liu, C. Wang, Z. Zhao, J. Dou, R. Niu, A. Plaza. BisDeNet: A New Lightweight Deep Learning-based Framework for Efficient Landslide Detection. IEEE J-STARS, 2024. 17: 3648-3663. (T2) (Top期刊)
2) C. Wang, T. Chen*. Object-Oriented Extraction of Land Occupation Types in Mining Areas by Using Densenet. In 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2022), July 17 - July 22, Virtual, Kuala Lumpur, Malaysia. 2022, Oral.
4. 陈浩
毕业去向:四川省川建勘察设计院有限公司
论文题目:基于空谱联合自编码器的高光谱混合像元盲分解
攻读硕士研究生期间成果:
1) H. Chen, T. Chen*, Y. Zhang, B. Du, A. Plaza. DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder. IEEE J-STARS, 2024. 17: 14010 - 14020. (T2) (Top期刊)
5. 谢金凤 2023国家奖学金
毕业去向:河南省交通规划设计研究院股份有限公司
论文题目:基于空谱信息和稀疏约束的高光谱解混方法研究
攻读硕士研究生期间成果:
1) 谢金凤, 陈涛*. 考虑光谱信息和超像素分割的高光谱解混网络. 遥感学报, 2024. 28(1): 142-153. (T2)
6. 郭骁玮 校级优秀毕业生
毕业去向:中核二十五建设有限公司
论文题目:基于时序InSAR和深度学习的矿区地面沉降预测
攻读硕士研究生期间成果:
1) 郭骁玮, 陈涛*. 考虑季节性特征的矿区地面沉降时空预测. 遥感学报, DOI: 10.11834/jrs.20243488. (T2)
2) X. Guo, T. Chen*, J. Li. Inversion and prediction of time-varying surface subsidence in coal mines by combining SBAS-InSAR and time-series prediction algorithms. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 5214-5217, Pasadena, CA, USA, July 16 - July 21, 2023.Poster.
7. 赵贺文 校级优秀毕业生
毕业去向:中化地质矿山总局浙江地质勘查院
论文题目:基于时序InSAR的郑州市地面沉降预测模型研究
攻读硕士研究生期间成果:
1) 赵贺文, 陈涛*. 基于TSC-LSTM的新密市地面沉降预测模型研究. 遥感学报. DOI: 10.11834/jrs.20243530 (T2)
8. 李灿
毕业去向:天津地热勘查开发设计院
论文题目:长江经济带主要城市群生态环境质量和城市化水平的关系分析
攻读硕士研究生期间成果:
1) C. Li, T. Chen*, K. Jia, A. Plaza. Coupling Analysis Between Ecological Environment Change and Urbanization Process in the Middle Reaches of Yangtze River Urban Agglomeration, China. IEEE J-STARS, 2024. 17: 880 - 892. (T2)(Top期刊)
2) C. Li, T. Chen*, J. Li. Comparative Analysis of the Coupling Coordinatioin Degree Between Ecological Environment and Urbanization in Major Urban Agglomerations in Yangtze River Economic Zone. In 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023), pp. 3675-3678, Pasadena, CA, USA, July 16 - July 21,2023. Poster.
武汉大学  摄影测量与遥感  博士研究生毕业  工学博士学位
武汉大学  信息工程  本科毕业  学士学位
国内外多个期刊审稿人:
Remote Sensing of Environment
Land Degradation & Development
Computers & Geosciences
Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Environmental Science and Pollution Research
Geoscience and Remote Sensing Letters
IEEE Access
Arabian Journal of Geosciences
Environmental Earth Sciences
Environmental Monitoring and Assessment
Earth Science Informatics
Archives of Agronomy and Soil Science
遥感学报
防灾科技学院学报
安全与环境工程
环境科学与技术
桂林理工大学学报
Programme Committee of IEEE International Conference on Data Mining 2018 (IEEE-ICDM-2018)
第二届阿拉伯地球科学杂志会议科学委员会委员(Conference Scientific Committee of the 2nd CAJG)
第三届环境与地球科学国际学术研讨会共同主席(Co-Chair of IWEG2020)