郑晨，男，1985年1月19日出生于河南开封（更新于2021-06-04）
手机：15039017689； 电子邮件：10100075@vip.henu.edu.cn
l 教育经历：
2009/9至2012/6，武汉大学，概率论与数理统计/测绘遥感国家重点实验室，博士，导师：胡亦钧/秦前清
2007/9至2009/6，武汉大学，概率论与数理统计/测绘遥感国家重点实验室，硕士，导师：胡亦钧/秦前清
2003/9至2007/7，河南大学，信息与计算科学，学士
● 任职经历：
2018/5至现在，河南大学，数学与统计学院统计系，副教授
2019/9至2020/2，加拿大新布伦瑞克大学，测绘学院，访问学者
2015/10至2016/10，加拿大新布伦瑞克大学，测绘学院，博士后
2014/6至2018/11，中国科学院，国家天文台，博士后
2012/7至2018/4， 河南大学，数学与统计学院统计系，讲师
● 最近五（5）年从事过的科研项目：
1. 主持人：基于深度随机场的高空间分辨率遥感影像多语义分割（国家自然基金面上项目，批准号：41771375；63万元，2018/01 - 2021/12.
2. 主持人：像元与对象协同的遥感影像多语义尺度统计分割研究（国家自然基金青年项目，批准号：41301470；25万元，2014/01 - 2016/12.
● 最近五（5）年发表的论文：
1. Zheng, C(郑晨)., Chen, Y. C., Shao, J., Wang, L. G *., 2021. An MRF-based multigranularity edge-preservation optimization for semantic segmentation of remote sensing images. IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.3058939.
2. Zheng, C(郑晨)., Zhang, Y., Wang, L. G*., 2020. Multigranularity multiclass-layer Markov random field model for semantic segmentation of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, DOI:10.1109/TGRS.2020.3033293.
3. Zheng, C(郑晨)., Pan, X.X., Chen, X.H., Yang, X.H., Xin, X., Su, L.M., 2019, An Object-Based Markov Random Field Model with Anisotropic Penalty for Semantic Segmentation of High Spatial Resolution Remote Sensing Imagery. Remote Sensing, 11(23), 2878.
4. Zheng, C(郑晨)., Wang, L. G*., Chen, X.H., 2019. A Hybrid Markov Random Field Model With Multi-Granularity Information for Semantic Segmentation of Remote Sensing Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(8): 2728 - 2740.
5. Zheng, C(郑晨)., Yao, H.T.,2019. Segmentation for remote-sensing imagery using the object-based Gaussian-Markov random field model with region coefficients. International Journal of Remote Sensing, 40(11): 4441-4472.
6. Zheng, C(郑晨)*., Zhang, Y., Wang, L. G., 2017. Semantic Segmentation of Remote Sensing Imagery Using Object-based Markov Random Field Model with Auxiliary Label Fields. IEEE Transactions on Geoscience and Remote Sensing, 55(5):3015-3028.
7. Wang, L. G., Xin Huang, X., Zheng, C(郑晨)., Zhang, Y., 2017. A Markov random field integrating spectral dissimilarity and class co-occurrence dependency for remote sensing image classification optimization. ISPRS Journal of Photogrammetry and Remote Sensing, 128:223-239.
8. Chen, X.H., Zheng, C(郑晨)*., Yao, H.T., Wang, B.X., 2017, Image segmentation using a unified Markov random field model. IET Image Processing, 11(10): 860-869.
9. Zheng, C(郑晨)*., Zhang, Y., Wang, L.G.,2016. Multi-layer Semantic Segmentation of Remote Sensing Imagery Using Hybrid Object-based Markov Random Field Model. International Journal of Remote Sensing, 37(23): 5505-5532.
10. Zheng, C(郑晨)*., Ping, J.S., Wang, M.Y., 2016, Hierarchical Classification for the Topography Analysis of Asteroid (4179) Toutatis from the Chang'E-2 Images. ICARUS, 278:119-127.
