遥感信息提取理论、方法与应用

 

 

2008.09 – 2013.12 武汉大学 地图制图学与地理信息工程 工学博士

2011.09 – 2013.02 英国南安普顿大学 联合培养博士研究生

2004.09 – 2008.06 武汉大学 地图学与地理信息系统 工学学士

 

 

2023.03至今 中国科学院空天信息创新研究院 副研究员

2020.03 – 2023.03 中国科学院空天信息创新研究院 助理研究员

2018.08 – 2019.08 德克萨斯大学达拉斯分校 访问学者

2014.04 – 2020.02 中国科学院遥感与数字地球研究所 助理研究员

 

 

2016.01 – 2018.12 国家自然科学基金青年项目“基于对象模型与多点空间统计的高分辨率遥感影像分类策略”，项目负责人

2021.12 – 2025.11 国家重点研发计划“复杂自然场景高分辨率遥感智能处理技术”，子课题负责人

2020.01 – 2022.12 国家重点研发计划“不可移动文物自然灾害风险评估与应急处置研究”，子课题负责人

2019.10 – 2020.12 北京科技大学委托项目“针对环境特性的高光谱解混算法开发”，项目负责人

2018.01 – 2022.12 中科院A类先导专项子课题“自然遗产地价值要素时空变化监测与认知”，任务负责人

2015.10 – 2017.10 高分辨率对地观测系统重大专项“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”，技术骨干

 

 

2016 中国铁道建筑总公司科学技术三等奖 排名第7

2017 遥感地球所青年创新促进会会员

 

 

 

[1]   Tang Y., Qiu F., Wang B., Wu D., Jing L., Sun Z. 2022. A deep relearning method based on the recurrent neural network for land cover classification. GIScience & Remote Sensing, 59(1): 1344-1366.

[2]   Tang Y., Chen F., Yang W., Ding Y., Wan H., Sun Z., Jing L. 2022. Elaborate monitoring of land-cover changes in cultural landscapes at heritage sites using very high-resolution remote-sensing images. Sustainability, 14: 1319

[3]   Gao H., Zhao Y., Guo P., Sun Z., Chen X., Tang Y.（通讯） 2022. Cycle and self-supervised consistency training for adapting semantic segmentation of aerial images. Remote Sensing, 14: 1527.

[4]   Qiu F., Tang Y. 2022. Big Remote Sensing Data as Curves. In New Thinking in GIScience, Li B., Shi X., Zhu A-X., Wang C., Lin H. Eds. pp. 29-39.

[5]   Tang Y., Qiu F., Jing L., Shi F., Li X. 2021. A recurrent curve matching classification method integrating within-object spectral variability and between-object spatial association. International Journal of Applied Earth Observations and Geoinformation, 101: 102367.

[6]   Liu Y., Tang Y.（通讯）, Jing L., Chen F., Wang P. 2021. Remote sensing-based dynamic monitoring of immovable cultural relics, from environmental factors to the protected cultural Site: a case study of the Shunji Bridge. Sustainability, 13: 6042.

[7]   Wan H., Tang Y.（通讯）, Jing L., Li H., Qiu F., Wu W. 2021. Tree species classification of forest stands using multisource remote sensing data. Remote Sensing, 13: 144.

[8]   唐韵玮, 刘艳祯, 段伟, 李娟娟, 吴樊, 陈富龙. 2021. 遥感技术对不可移动文物的灾害监测. 中国文化遗产, 3: 24-30.

[9]   Tang Y., Qiu F., Jing L., Shi F., Li X. 2020. Integrating spectral variability and spatial distribution for object-based image analysis using curve matching approaches. ISPRS Journal of Photogrammetry and Remote Sensing, 169: 320-336.

[10]        Tang Y., Jing L., Shi F., Li X., Qiu F. 2019. A hybrid model integrating spatial pattern, spatial correlation, and edge information for image classification. Remote Sensing, 11: 1599.

[11]        Tang Y., Zhang J., Jing L., Gao H. 2018. 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, 141: 219-236.

[12]        Gao H., Tang Y.（通讯）, Jing L., Li H., Ding H. 2017. A novel unsupervised segmentation quality evaluation method for remote sensing images. Sensors, 17(10): 2427.

[13]        Tang Y., Jing L., Li H., Atkinson P. M. 2016. A multiple-point spatially weighted k-NN method for object-based classification. International Journal of Applied Earth Observation and Geoinformation, 52: 263-274.

[14]        Tang Y., Jing L., Atkinson P. M., Li H. 2016. A multiple-point spatially weighted k-NN classifier for remote sensing. International Journal of Remote Sensing, 37(18): 4441-4459.

[15]        Tang Y., Jing L., Li H., Liu Q., Yan Q., Li X. 2016. Bamboo Classification using WorldView-2 imagery of giant panda habitat in a large shaded area in Wolong, Sichuan Province, China. Sensors, 16(11): 1957.

[16]        Tang Y., Zhang J., Jing L., Li H. 2015. Digital elevation data fusion using multiple-point geostatistical simulation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(10): 4922-4934.

[17]        Tang Y., Atkinson P. M., Zhang J. 2015. Downscaling remotely sensed imagery using area-to-point cokriging and multiple-point geostatistical simulation, ISPRS Journal of Photogrammetry and Remote Sensing, 101: 174-185.

[18]        唐韵玮, 张景雄. 2014. 遥感影像土地覆盖分类的多点地统计学方法．武汉大学学报(信息科学版). 39(5): 546-550.

[19]        唐韵玮, 张景雄. 2014. 基于面-点协同克里格和多点地统计模拟的遥感影像融合方法. 武汉大学学报(信息科学版). 39(7): 856-861.

 

 

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