找回密码
 立即注册

星空地协同对地监测研究组

博士后研究人员王雪

时间: 2020-4-24 10:11

作者: admin

 查看:(4627)  评论:(0)

王雪,男,199211月生,山东泗水人,汉族,中共党员。

教育背景:

2010.09-2014.06  中国矿业大学  学士   地理信息系统    

2014.09-2016.06  中国矿业大学  硕士   摄影测量与遥感专业        导师:谭琨教授

2016.06-2019.12  中国矿业大学  博士   摄影测量与遥感专业        导师:谭琨教授

工作经历

2020.04-至今 华东师范大学,博士后

研究方向

高光谱遥感影像分类,环境遥感

期刊论文

[1]Wang, X., Tan, K., Du, Q., Chen, Y., & Du, P. Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification. [J]. IEEE Transactions on Geoscience & Remote Sensing, 2019, 57(9): 7232-45.

[2]Wang, X., Tan, K., Chen, B., & Du, P. Assessing the spatiotemporal variation and impact factors of net primary productivity in China. [J]. Scientific reports, 2017, 7: 44415.

[3]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]. International journal of environmental research and public health, 2019, 16(3): 511.

[4]Wang, X., Tan, K., Du, Q., Chen, Y., & Du, P. CVA2E: A Conditional Variational Autoencoder with an Adversarial Training Process for Hyperspectral Imagery Classification [J]. IEEE Transactions on Geoscience & Remote Sensing- 10.1109/TGRS.2020.2968304

[5]Wang X, Tan K, Sun Y. Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data[C] IGARSS 2016-2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 2016: 5338-5341.

[6]Wang X, Tan K, Chen Y. CapsNet and Triple-GANs Towards Hyperspectral Classification[C]//2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA). IEEE, Xian, China, 2018: 1-4.

[7]Tan, K., Wang, X., Zhu, J., Hu, J., & Li, J. A novel active learning approach for the classification of hyperspectral imagery using quasi-Newton multinomial logistic regression. [J] International journal of remote sensing, 2018, 39(10): 3029-3054.

[8] Wang Y, Wang X, Tan K, et al. Estimation of Maize Yield in Yitong County based on Multi-source Remote Sensing Data from 2007 to    2017[C]//2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). IEEE, Shanghai, China, 2019: 1-4.

[9]谭琨, 王雪, 杜培军. 结合深度学习和半监督学习的遥感影像分类进展[J]. 中国图象图形学报, 2019, 24(11): 1823-1841.

[10]武复宇 王雪 丁建伟 杜培军 谭琨. 基于改进多级联森林深度网络的高光谱遥感影像分类[J].遥感学报

[11]祝伟 王雪 黄岩 杜培军 谭琨. 基于重加权稀疏和全变差约束的深度非负矩阵分解高光谱解混[J].遥感学报

 

合作交流

© 2017-2018 星空地协同对地监测研究组 Comsenz Inc. 版权所有 地址:江苏省徐州市大学路1号中国矿业大学南湖校区 邮编:221006 WEEK Discuz! X3.2

GMT+8, 2024-4-18 23:10 , Processed in 1.392881 second(s), 31 queries .

返回顶部