个人简介
博士,讲师,1988年11月生,籍贯浙江温岭。2010-2015年在武汉大学测绘遥感信息工程国家重点实验室攻读摄影测量与遥感博士学位,其后进入中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室从事博士后研究。
2018.09-至今 北京建筑大学测绘与城市空间信息学院,讲师
2015.07-2018.04 中国科学院地理科学与资源研究所资源与环境信息系统 国家重点实验室,从事博士后研究
2010.09-2015.07 武汉大学测绘遥感信息工程国家重点实验室,获摄影测量与遥感,获博士学位
2014.03-2014.09 Institut de Planetologie et d'Astrophysique de Grenoble (IPAG, 格勒诺布尔行星与天文实验室)公派联培
2006.09-2010.06 中南大学信息物理工程学院,获得测绘工程学士学位
研究领域
遥感影像特征表达与解译、高维时空数据信息挖掘、多源数据的协同处理、机器学习与模式识别等
近期论文
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[1] X. Guo, X. Huang, L. Zhang, and L. Zhang, "Hyperspectral Image Noise Reduction Based on Rank-1 Tensor Decomposition," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 83, pp. 50-63, September, 2013. (一区,IF= 6.387)
[2] X. Guo, X. Huang, and L. Zhang, “Three-Dimensional Wavelet Texture Feature Extraction and Classification for Multi/Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 12, pp. 2183-2187, December, 2014. (三区,IF= 2.761)
[3] X. Guo, X. Huang, L. Zhang, L. Zhang, A. Plaza, and J. A. Benediktsson, "Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery,“ IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 6, pp. 3248-3264, June, 2016. (二区,IF= 4.942,Top期刊)
[4] Y. Ge*, Y. Wei, Y. Song, T. Wu, A. Stein, X. Guo*, C. Zhou and J. Ma , “A WTLS-based Rational Function Model for Orthorectification of Remote Sensing Imagery,” International Journal of Remote Sensing, vol. 38, no. 23, pp. 7281-7301, September, 2017. (通讯作者,三区,IF=1.724)
[5] R. Yao, L. Wang*, X. Huang*, X. Guo. “Investigation of Urbanization Effects on Land Surface Phenology in Northeast China during 2001–2015,” Remote Sensing, vol. 9, no. 1, pp. 66-82, January, 2017. (二区,IF= 3.244)
[6] Y. Jia, Y. Ge, F. Ling, X. Guo, and J. Wang, "Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data," Remote Sensing, vol. 10, no. 3, pp. 446, 2018. (二区,IF= 3.244)
[7] 郭贤, 黄昕, 张乐飞 和张良培, "采用张量子空间的高光谱影像多维滤波算法,"测绘学报, vol. 42, no. 2, pp. 253-253, April, 2013. (EI)
[8] X. Guo, X. Huang, L. Zhang, and L. Zhang, "Local Pixel Neighborhood for Hyperspectral Image Classification with Support Tensor Machine," in the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing(WHISPERS), Lausanne, Switzerland, June, 2014. (EI)