1990.09-1994.07, 山东矿业学院，地质矿产勘查专业，工学学士学位
1994.09-1997.06，中国科学院遥感应用研究所，地图学与遥感专业，理学硕士学位
2002.01-2008.04，加拿大约克大学，地理空间信息与遥感专业，理学博士学位

1997.07-2000.06，中国科学院遥感应用研究所, 研究实习员
2000.07-2001.12，中国科学院遥感应用研究所, 助理研究员
2008.05-2011.12，加拿大约克大学，博士后

2018.1-2020.12，新疆维吾尔自治区重大科技专项专题“稀有金属遥感示矿信息提取技术与找矿远景研究”，专题负责人
2015.11-2017.11，高分辨率对地观测系统重大专项项目“GF-5基于全谱段多光谱成像仪和高光谱相机的生态系统精细分类和目标识别技术”，项目负责人
2015.4-2017.12，国家科技支撑计划专题“遥感示矿信息提取技术与找矿远景研究”，专题负责人
2013.1-2015.12，中国地质调查局计划项目‘覆盖区成矿预测推广示范’下的工作项目“覆盖区遥感技术与图像融合研究及应用”，项目负责人

2012.01 中国科学院“百人计划”

[1].Yunwei Tang, Linhai Jing, Fan Shi, Xiao Li, Fang Qiu*, A hybrid model integrating spatial pattern, spatial correlation, and edge information for image classification. Remote Sensing, 2019.
[2].Y. Tang, J. Zhang*, L. Jing*, H. Gao. Geostatistical modelling of spatial dependence in area-class occurrences for improved object-based classifications of remote-sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 141: 219-236.
[3].Wenyan Ge, Qiuming Cheng*, Linhai Jing*, Costas Armenakis, Haifeng Ding, Lithological discrimination and mapping using ASTER and Sentinel-2A in the Shibanjing ophiolite complex of Beishan orogenic in Inner Mongolia, China, Advances in Space Research, 2018, 62(7): 1702-1716.
[4].Hui Li*, Linhai Jing*, Yunwei Tang, Liming Wang, An image fusion method based on image segmentation for high-resolution remotely sensed imagery. Remote Sensing, 2018, 10(5): 790.
[5].Wenyan Ge, Qiuming Cheng, Yunwei Tang, Linhai Jing*, Chunsheng Gao, Lithological classification using Sentinel-2A data in the Shibanjing ophiolite complex in Inner Mongolia, China. Remote Sensing, 2018, 10(4):638.
[6].Hui Li*, Linhai Jing*, Yunwei Tang , Haifeng Ding，An improved pansharpening method for misaligned panchromatic and multispectral data. Sensors, 2018, 18 (2) :557.
[7].Han Gao, Yunwei Tang*, Linhai Jing*, Hui Li, Haifeng Ding, A novel unsupervised segmentation quality evaluation method for remote sensing images， Remote Sensing, 2017, 17(10): 2427..
[8].Li*, H., and Jing*, L., Improvement of a pansharpening method taking into account haze, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Nov. 2017, 10(11), 5039-5055.
[9].Hui Li*, Linhai Jing*, Yunwei Tang, Assessment of pansharpening methods applied to WorldView-2 imagery fusion, Sensors, 2017, 17(1): 89.
[10].Yunwei Tang*, Linhai Jing*, Qingjie Liu, Hui Li, Qi Yan, Xiuxia Li, Bamboo classification using WorldView-2 imagery of giant panda habitat in Wolong, Sichuan Province, China. Sensors, 2016, 16(11): 1957.
[11].Yunwei Tang*, Linhai Jing*, Peter M. Atkinson, and Hui Li, A multiple-point spatially weighted k-NN classifier for remote sensing, International Journal of Remote Sensing, 2016, 37(18): 4441-4459.
[12].Tang Y.*, Jing L.*, Atkinson P.M., Hui, Li, A multiple-point spatially weighted k-NN method for object-based classification. International Journal of Applied Earth Observation and Geoinformation, 2016, 52: 263-274.
[13].Hui Li, Linhai Jing*, Liming Wang and Qiuming Cheng, Improved pansharpening with un-mixing of mixed MS sub-pixels near boundaries between vegetation and non-vegetation objects, Remote Sensing, 2016, 8(83): 1-24.
[14].Hui Li, Linhai Jing*, Zhongchang Sun, Junjie Li, and Yunwei Tang, A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM, International Journal of Digital Earth, 2016, 9(6): 606-628.
[15].Yunwei Tang*, Jingxiong Zhang, Linhai Jing, and Hui Li, 2015, Digital elevation data conflation using multiple-point geostatistics, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(1): 4922-4934.
[16].Baoxin Hu*, Jili Li, Linhai Jing, Aaron Judah，2014. Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data, International Journal of Applied Earth Observation and Geoinformation, 01(26):145–155.

招生方向：高分遥感图像处理、遥感地质

2017年7月，闫琦
2018年7月，高涵
2019年7月，阎世杰