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姓名:叶昕
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邮箱:xinye@pku.edu.cn

叶昕,助理研究员

合作导师:范闻捷研究员

研究领域:热红外遥感

教育经历:

2008.09-2012.07 北京师范大学 信息科学与技术学院 计算机科学与技术 理学学士

2012.09-2017.07 北京大学 地球与空间科学学院 地图学与地理信息系统 理学博士

代表作:

[1]Ye, X., Ren, H., Liang, Y., Zhu, J., Guo, J., Nie, J., Zeng, H., Zhao, Y., & Qian, Y. (2021). Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval. International Journal of Applied Earth Observation and Geoinformation, 101, 102357.

[2]Ye, X., Ren, H., Liu, R., Qin, Q., Liu, Y., & Dong, J. (2017). Land surface temperature estimate from Chinese gaofen-5 satellite data using split-window algorithm. IEEE Transactions on Geoscience and Remote Sensing, 55(10), 5877-5888.

[3]Ye, X., Ren, H., Nie, J., Hui, J., Jiang, C., Zhu, J., ... & Liang, Y. (2022). Simultaneous Estimation of Land Surface and Atmospheric Parameters from Thermal Hyperspectral Data Using a LSTM-CNN Combined Deep Neural Network. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.

[4]Ye, X., Liu, M., Wang, J., Qin, Q., Ren, H., Wang, J., & Hui, J. (2017). Building-based damage detection from postquake image using multiple-feature analysis. IEEE Geoscience and Remote Sensing Letters, 14(4), 499-503.

[5]Ren, H., Ye, X*., Nie, J., Meng, J., Fan, W., Qin, Q., Liang, Y., & Liu, H. (2022). Retrieval of land surface temperature, emissivity, and atmospheric parameters from hyperspectral thermal infrared image using a feature-band linear-format hybrid algorithm. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-15.

[6]Ren, H., Ye, X*., Liu, R., Dong, J., & Qin, Q. (2017). Improving land surface temperature and emissivity retrieval from the Chinese Gaofen-5 satellite using a hybrid algorithm. IEEE Transactions on Geoscience and Remote Sensing, 56(2), 1080-1090.

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