王雪,男,1992年11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
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