陈宇
发布时间:2018-05-10   浏览次数:

l教育与学历

姓名:陈宇

学位:博士

职称:副教授(预聘)

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

Ø2020.4-至今   中国矿业大学环境与测绘学院 副教授

Ø2017.11-2020.4 中国矿业大学环境与测绘学院 讲师

Ø2013.1-2013.12 法国国家科学院 助理研究员

l期刊论文

2020

[1]仝云霄,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.

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(41804013),25.5万元,2019-2022

2. 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

3. 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),8万元,2020-2021

4. 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,3万元,2018-2020

l获奖

2019 河北省科技进步奖(III, R3

2018 第四届江苏省青年遥感与地理信息科技奖

2018 中国矿业大学优秀教职工