陈宇
发布时间:2021-08-26   浏览次数:

姓名:陈宇

学位:博士

职称:副教授

研究方向: InSAR地表形变监测与误差分析;资源环境遥感

Email: chenyu@cumt.edu.cn

l 教育与学历

2014.03-2017.03

地球与行星科学博士

法国图卢兹大学

2010.09-2012.06

摄影测量与遥感硕士

中国矿业大学

2006.09-2010.06

地理信息系统学士

中国矿业大学

l 工作经历

Ø Ø 2020.04-至今    中国矿业大学环境与测绘学院 副教授

Ø Ø 2017.11-2020.04 中国矿业大学环境与测绘学院 讲师

Ø Ø 2013.1-2013.12 法国国家科学院 助理研究员

l 期刊论文

2021

[1] 刘金香, 班伟, 陈宇,. 融合多维度CNN的高光谱遥感图像分类算法[J]. 中国激光, 2021.EI

[2] 蒋金雄, 杜玉玲, 陈宇, 刘广, 闫世勇. 利用DS-InSAR技术监测沛北矿区地表形变[J]. 测绘通报, 2021, 0(2): 117-121.(中文核心)

[3] Chen S, Zhang K, Zhao Y, Sun Y, Ban W, Chen Y, Zhuang H, Zhang X, Liu J, Yang T. An Approach for Rice Bacterial Leaf Streak Disease Segmentation and Disease Severity Estimation. Agriculture. 2021; 11(5):420. (SCI)

2020

[1]云霄,黄岩,陈宇,谭琨,欧德品,韩福顺. D-InSAR矿区地表沉降监测及时空分析[J].测绘科学,2020,45(03): 67-73. (中文核心)

[2] Y. Chen, Y. Tong and K. Tan, "Coal Mining Deformation Monitoring Using SBAS-InSAR and Offset Tracking: A Case Study of Yu County, China," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6077-6087, 2020, doi: 10.1109/JSTARS.2020.3028083. (SCI, JCR 2)

[3] X. Wang, K. Tan, Q. Du, Y. Chen and P. Du, "CVA2E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 8, pp. 5676-5692, Aug. 2020, doi: 10.1109/TGRS.2020.2968304. (SCI, JCR 1)

2019

[1] Chen, Y.; Tan, K.; Yan, S.; Zhang, K.; Zhang, H.; Liu, X.; Li, H.; Sun, Y. Monitoring Land Surface Displacement over Xuzhou (China) in 2015–2018 through PCA-Based Correction Applied to SAR Interferometry. Remote Sens. 2019, 11, 1494. (SCI, JCR 1)

[2] Guo, S.; Bai, X.; Chen, Y.; Zhang, S.; Hou, H.; Zhu, Q.; Du, P. An Improved Approach for Soil Moisture Estimation in Gully Fields of the Loess Plateau Using Sentinel-1A Radar Images. Remote Sens. 2019, 11, 349. (SCI, JCR 1)

[3] Ou, D.; Tan, K.; Du, Q.; Zhu, J.; Wang, X.; Chen, Y*. A Novel Tri-Training Technique for the Semi-Supervised Classification of Hyperspectral Images Based on Regularized Local Discriminant Embedding Feature Extraction. Remote Sens. 2019, 11, 654. (SCI, JCR 1)

[4] Wang, X.; Tan, K.; Xu, K.; Chen, Y.*; Ding, J. Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China. Int. J. Environ. Res. Public Health 2019, 16, 511. (SCI, JCR 2)

[5] Wang, H.-M.; Tan, K.; Wu, F.-Y; Chen, Y.; Chen, L.-H. Study of The Retrieval and Adsorption Mechanism of Soil Heavy Metals Based on Spectral Absorption Characteristics. Spectroscopy and Spectral Analysis 2019, 39,12. (SCI, JCR 4)

[6] 仝云霄, 高井祥, 陈宇. 基于时序InSAR技术的蔚县地面形变监测[J]. 现代测绘, 2019, 42(2): 1-6.

2018

[1] Chen, Y.; Zhang, K.; Froger, J.-L.; Tan, K.; Remy, D.; Darrozes, J.; Peltier, A.; X., Feng; H., Li; Villeneuve, N. Long-Term Subsidence in Lava Fields at Piton de la Fournaise Volcano Measured by InSAR: New Insights for Interpretation of the Eastern Flank Motion. Remote Sens. 2018, 10, 597. (SCI, JCR 1)

[2] Ou, D.; Tan, K.; Du, Q.; Chen, Y.*; Ding, J. Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring. Remote Sens. 2018, 10, 1055. (SCI, JCR 1)

[3] Hou, Z., Chen, Y., Tan, K., and Du, P.: Novel Hyperspectral Anomaly Detection Methods Based on Unsupervised Nearest Regularized Subspace, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 539-546, https://doi.org/10.5194/isprs-archives-XLII-3-539-2018, 2018. (EI)

2017

[1] Y. Chen, D. Remy, J.-L. Froger, A. Peltier, N. Villeneuve, J. Darrozes, H. Perfettini, S. Bonvalot. Long-term ground displacement observations using InSAR and GNSS at Piton de la Fournaise volcano between 2009 and 2014, Remote Sensing of Environment, 2017, 194, 230-247. (SCI, JCR 1top).

2015

[1] D. Remy., Y. Chen, J.-L. Froger, S. Bonvalot, L. Cordoba, J. Fustos. Revised interpretation of recent InSAR signals observed at Llaima volcano (Chile). Geophysical Research Letters, 2015, 42(10), 3870-3879. (SCI, JCR 1).

[2] Y. Chen, D., Remy, J.-L., Froger, J., Darrozes, SAR interferometry time series analysis of ground displacement for Piton de la Fournaise volcano, Reunion Island, Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 298–301, doi: 10,1109/IGARSS.2015,7325759. (EI).

2014

[1] 杜培军, 陈宇, 谭琨. 江苏滨海湿地土地利用/覆盖变化与地表温度响应遥感监测. 国土资源遥感, 2014, 26(2), 112-120.

[2] 杜培军, 陈宇, 谭琨. 湿地景观格局与生态安全遥感监测分析-以江苏滨海湿地为例. 国土资源遥感, 2014, 26(1), 158-166.

2013

[1] P. Du, Y. Chen, J. Xia, K. Tan. A novel remote sensing image classification scheme based on data fusion, multiple features and ensemble learning. Journal of the Indian Society of Remote Sensing, 2013, 41(2), 213-222.

2012

[1] 陈宇, 陈绍杰, 杜培军. 基于国产小卫星遥感数据的矿区土地覆盖与景观格局变化研究.遥感信息, 2012, 2, 85-90.

2011

[1] 陈宇, 杜培军, 唐伟成, 柳思聪. 基于 BJ-1 小卫星遥感数据的矿区土地覆盖变化检测. 国土资源遥感, 2011, 2011(3), 146-150.

2010

[1] 朱绍攀, 陈宇. 大气辐射校正方法分析. 地理空间信息, 2010, 1, 113-116.

l 专著

[1] 陈宇 基于InSAR技术的火山地表形变监测——以富尔奈斯火山为例。中国矿业大学出版社,2019.10.

l 主持项目

[1] 基于高精度InSAR的煤火区域地表形变时空演变规律及形变-燃空区协同关系研究,国家自然科学基金面上项目(42171312),54万,2022-2025,主持。

[2] 基于PCAvbICA的时序InSAR大气延迟改正方法研究国家自然科学基金青年项目(4180401325.5万元,2019-2021,主持

[3] 基于变分贝叶斯独立成分分析和形变模型的时序InSAR大气对流层延迟改正方法研究江苏省自然科学基金青年项目BK20180666),20万元,2018-2021,主持

[4] 基于ICA与时序形变模型的InSAR大气延迟改正方法研究,第66批博士后面上项目(2019M661988),8万,2020-2021,主持。

[5] 基于vbICAInSAR大气对流层延迟改正方法研究,第十一批“启航计划”培养项目,3万,2018-2020,主持。

[6] 济宁市任城区运河西路龙拱河特大桥建设项目地表变形InSAR监测分析,企业委托,9万,2021,主持。

l 获奖

[1] 2020 河北省科技进步三等奖, 张家口蔚县煤矿区地面沉陷星地一体监测示范项目, 丁建伟,谭琨,陈宇,王雪,欧德品.

[2] 2018 第四届江苏省青年遥感与地理信息科技奖

[3] 2018 中国矿业大学优秀教职工

l 专利

[1] 李怀展,郭广礼,张克非,查剑锋,陈宇,徐友友,刘潇鹏,一种面向耕地保护的固体充填采煤充实率设计方法,2020.01.14,发明专利,ZL201910053940.X(授权)。

[2] 班伟,张小红,张克非,陈宇. 一种利用GNSS三频相位组合数据监测水库水位的方法, 2020.03.20, 发明专利, 202010199670.6.(已受理)

[3] Wei Ban; Xiaohong Zhang; Kefei Zhang; Yu Chen; Method for monitoring the water level of reservoir by using GNSS triple-frequency phase combination data, 2021-1-13, Australia, 2020103449. (授权)

l 学术兼职

[1] 中国测绘学会摄影测量与遥感专业委员会委员

[2]《遥感技术与应用》编委

[3] 江苏省测绘地理信息学会会员

[4] 江苏省遥感与地理信息系统学会会员

[5] Frontiers in Environmental Science》期刊Lead Guest Editor

https://www.frontiersin.org/research-topics/24965/insar-crustal-deformation-monitoring-modeling-and-error-analysis