1. Photo:
2. The title:Dr. Yu Chen (Associate Professor)
3. Email: chenyu@cumt.edu.cn
4. The research direction: InSAR Surface Deformation Monitoring and Error Analysis; Remote Sensing of Resources and Environment
5. Details:
Education
From 2014.03 to 2017.03, PhD of Earth and Planetary Science, University of Toulouse, France.
From 2010.09 to 2012.06, Master of Photogrammetry and Remote Sensing, China University of Mining and Technology, China.
From 2006.09 to 2010.06, Bachelor of Geographic Information System, China University of Mining and Technology, China.
Work Experience
From 2020.04 to Present, Associate Professor at the School of Environment Science and Spatial Informatics in China University of Mining and Technology;
From 2017.11 to 2020.04, Lecturer at the School of Environment Science and Spatial Informatics in China University of Mining and Technology;
From 2013.01 to 2013.12, Research Associate at National Center for Scientific Research, France;
Publications (2010~2021)
2021
[1] Liu, J.; Ban, W.; Chen, Y.; Sun, Y.; Zhuang, H.; Fu, E.; Zhang, K. Hyperspectral Remote Sensing Image Classification Algorithm Fused with Multi-Dimensional CNN[J]. Chinese Journal of Lasers.2021,48,1610003. (EI)
2020
[1] Tong, Y.; Huang, Y.; Chen, Y.; Tan, K.; Ou, D.; Han, F. Surface Subsidence Monitoring and Spatio-temporal Analysis in Mining Area Based on D-InSAR[J]. Science of Surveying and Mapping. 2020,45,67-73, In Chinese.
[2] Chen, Y.; Tong,Y.; Tan, K. Coal Mining Deformation Monitoring Using SBAS-InSAR and Offset Tracking: A Case Study of Yu County, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13, 6077-6087. (SCI, JCR Q2)
[3] Wang, X.; Tan, K.; Du, Q.; Chen, Y. and Du, P. A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58, 5676-5692. (SCI, JCR Q1)
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[J]. Remote Sens. 2019, 11, 1494-1516. (SCI, JCR Q1)
[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[J]. Remote Sens. 2019, 11, 349-365. (SCI, JCR Q1)
[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[J]. Remote Sens. 2019, 11, 654-672. (SCI, JCR Q1)
[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[J]. Int. J. Environ. Res. Public Health. 2019, 16, 511-529. (SCI, JCR Q2)
[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[J]. Spectroscopy and Spectral Analysis, 2019, 39,12-30. (SCI, JCR Q4)
[6] Tong, Y.; Gao J.; Chen, Y. Ground Deformation Monitoring in Yuxian Based on Timed Series InSAR Technology[J]. Modern Surveying and Mapping, 2019, 42: 1-6.
2018
[1] Chen, Y.; Zhang, K.; Froger, J.-L.; Tan, K.; Remy, D.; Darrozes, J.; Peltier, A.; Feng X.; Li, H.; 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[J]. Remote Sens. 2018, 10, 597-615. (SCI, JCR Q1)
[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[J]. Remote Sens. 2018, 10, 1055-1073. (SCI, JCR Q1)
[3] Hou, Z. Chen, Y. Tan, K. and Du, P. Novel Hyperspectral Anomaly Detection Methods Based on Unsupervised Nearest Regularized Subspace, Int. Arch. Photogramm[J]. Remote Sens. 2018, XLII-3, 539-546. (EI)
2017
[1] Chen, Y.; Remy, D.; Froger, J.-L.; Peltier, A.; Villeneuve, N.; Darrozes J.; Perfettini, H.; Bonvalot, S. Long-term ground displacement observations using InSAR and GNSS at Piton de la Fournaise volcano between 2009 and 2014[J], Remote Sensing of Environment, 2017, 194, 230-247. (SCI, JCR Q1 top)
2015
[1] Remy, D.; Chen, Y.; Froger, J.-L.; Bonvalot, S.; Cordoba, L.; Fustos, J. Revised interpretation of recent InSAR signals observed at Llaima volcano (Chile)[J]. Geophysical Research Letters, 2015, 42, 3870-3879. (SCI, JCR Q1).
[2] Chen, Y. Remy, D.; Froger, J.; Darrozes, J. SAR interferometry time series analysis of ground displacement for Piton de la Fournaise volcano, Reunion Island[J], Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 2015, 298–301.(EI)
2014
[1] Du, P.; Chen, Y.; Tan, K. The remote sensing monitoring of land/cover change and surface temperature responses over the coastal wetland in Jiangsu[J]. Remote Sensing for Land & Resources. 2014, 26, 112-120.
[2] Du, P.; Chen, Y.; Tan, K. Monitoring and analyzing wetland landscape pattern change and ecological security using remote sensing images: A case study of Jiangsu coastal wetland[J]. Remote Sensing for Land & Resources. 2014, 26, 158-166.
2013
[1] Du, P.; Chen, Y.; Xia, J.; Tan, K. A novel remote sensing image classification scheme based on data fusion, multiple features and ensemble learning[J]. Journal of the Indian Society of Remote Sensing, 2013, 41, 213-222.
2012
[1] Chen, Y.; Chen, S.; Du, P. Change Analysis of Land Cover and Landscape Pattern in Coal Mining Area Based on China Small Satellite Remote Sensing Data[J]. Remote Sensing Information, 2012, 2, 85-90.
2011
[1] Chen, Y.; Du, P.; Tang, W.; Liu, S. Land Cover Change Detection in Coal Mining Area Using BJ-1 Small Satellite Remote Sensing Data[J]. Remote Sensing for Land & Resources, 2011, 3, 146-150.
2010
[1] Zhu, S.; Chen, Y. Methods for Atmospheric Radiation Correction[J]. Geospatial Infoemation, 2010, 1, 113-116.
[1] Yu Chen. Volcanic surface deformation monitoring based on InSAR Technology: a case study of fulnese volcano, China University of mining and Technology Press, 2019.10.
[1] Research on atmospheric delay correction method of time series InSAR based on PCA and vbICA, Youth Program of National Natural Science Foundation of China (41804013), 255,000RMB, 2019-2022.
[2] Tropospheric delay correction for time series InSAR based on variational Bayesian independent component analysis and deformation model, Youth program of Jiangsu Natural Science Foundation (BK20180666), 200,000RMB, 2018-2021.
[3] Atmospheric delay correction of InSAR based on ICA and time series deformation model, the 66th Post-Doctor General Projects (2019M661988), 80,000RMB, 2020-2021.
[4] Research on correction method of atmospheric tropospheric delay for InSAR based on vbICA, the 11th Sailing Plan Training Projects, 30,000RMB, 2018-2020.
Awards
[1] Hebei Science and Technology Progress Award (III) (Achievement: Demonstration project of satellite ground integrated monitoring for ground subsidence in Yuxian coal mining area, Zhangjiakou), 2020.
[2] The 4th Jiangsu Youth Award for Remote Sensing and Geographic Information Technology, 2018.
[3] Excellent Staff of China University of Mining and Technology, 2018.
[1] Huaizhan Li, Guangli Guo, Kefei Zhang, Jianfeng Zha, Yu Chen, Youyou Xu, Xiaopeng Liu. A design method of filling rate of solid filling coal mining for cultivated land protection, 2020.01.14, ZL201910053940.X.
[2] Wei Ban, Xiaohong Zhang, Kefei Zhang, Yu Chen. Method for monitoring the water level of reservoir by using GNSS triple-frequency phase combination data, 2020.03.20, 202010199670.6.
[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 (Australia), 2021.1.13, 2020103449.
[1] Remote Sensing Technology and Application Editorial Board Member.
[2] Member of Jiangsu Institute of Surveying and Mapping.
[3] Member of Jiangsu Association of Remote Sensing and GIS.