Yan Jining

Associate professor   Supervisor of Master's Candidates

Honors and Titles : 校级最受学生欢迎老师
校级优秀共产党员
本科教学质量评估优秀
华为ICT大赛全国一等奖指导老师
华为ICT大赛全球一等奖指导老师

Gender : Male

Alma Mater : 中国科学院大学

Education Level : Faculty of Higher Institutions

Degree : Doctoral Degree in Engineering

Status : Employed

School/Department : 计算机学院

Discipline : Computer science and technology Spatial information and digital technology Geographic Information Science

Business Address : 未来城校区科一楼508办公室

Email :


Paper Publications

Jining Yan, Kefa Zhou, Dingsheng Liu,Jinlin Wang, Lizhe Wang, Hui Liu. Alteration information extraction using improved relative absorption band-depth images, from HJ_1A HSI data: a case study in Xinjiang Hatu gold ore district,International Journal of Remote Sensing (SCI, IF: 1.859), 2014, 35(18): 6728-6741.

Hits :

Included Journals : SCI  

First Author : Jining Yan

Date of Publication : 2014-01-01

Document Type : N

Indexed by : Journal paper

Journal : International Journal of Remote Sensing

Volume: 35

Issue : 18

Page Number : 6728-6741.

Translation or Not : no

Correspondence Author : Jining Yan, Kefa Zhou, Dingsheng Liu,Jinlin Wang, Lizhe Wang, Hui Liu.

Author : Kefa Zhou

Pre One : Jining Yan, Lizhe Wang, Lajiao Chen, Lingjun Zhao, and Bomin Huang. A Dynamic Remote Sensing Data Driven Approach for Oil Spill Simulation in the Sea, Remote Sensing (SCI) (SCI, IF: 3.257). 2015, 7, 7105-7125.

Next One : Jie Zhang, Jining Yan, Yan Ma, Dong Xu, Pengfei Li and Jie Wei. Infrastructures and services for remote sensing data production management across multiple satellite data centers. Cluster Computing (SCI, IF: 1.510). 2016,1-18. DOI: 10.1007/s10586-016-0577-6.

Recommend this Article

Personal Profile

阎继宁,男,博士,副教授,IEEE Senior Member,国际数字地球学会空间地球大数据专委会秘书长,中国遥感应用协会定量遥感专业委员会青年委员,中国太平洋学会海洋大数据与高性能计算分会理事,国际对地观测卫星委员会(CEOS)信息系统与服务工作组(WGISS)成员。主要研究方向包括大规模时序遥感数据管理及智能分析、遥感云计算。近年来主持国家重点研发计划子课题、国家自然科学基金、CCF-蚂蚁科研基金等项目十余项。在RSE、ISPRS P&RS、TGRS、JAG等期刊发表SCI检索论文40余篇(一作/通讯24篇),ESI高被引论文2篇,授权发明专利6项,出版中英文专著3部,第一作者主编教材1部,获得省部级奖项3项,IEEE JSTARS 最佳论文奖1项。此外,还担任SCI期刊Remote Sensing客座编辑及Reviewer Board Member,ESCI/EI期刊Big Earth Data、Urban Informatics、Journal of Autonomous Intelligence客座编辑,Resources, Environment and Sustainability (RES)、《地球科学》、《Journal of  Earth Science》青年编委,IEEE TGRS、TGSI、TBED、IJRS、遥感学报等国内外30余种期刊审稿人。


代表性论文:

[1] Jining Yan, Jingwei Liu, Dong Liang, Yi Wang, Jun Li, Lizhe Wang. Semantic segmentation of land cover in urban areas by fusing multi-source satellite image time series. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi: 10.1109/TGRS.2023.3329709.

[2] Jining Yan, Lizhe Wang, Haixu He, Dong Liang, Weijing Song, Wei Han. Large area land cover changes monitoring with time-series remote sensing images using transferable deep models. IEEE Transactions on Geoscience and Remote Sensing, 2022. DOI: 10.1109/TGRS.2022.3160617.

[3] H. He, J. Yan*, L. Wang, D. Liang, J. Peng and C. Li, "Bayesian Temporal Tensor Factorization-Based Interpolation for Time Series Remote Sensing Data with Large-Area Missing Observations," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3140436.

[4] Jining Yan, Lizhe Wang, et al. "A time-series classification approach based on change detection for rapid land cover mapping." ISPRS Journal of Photogrammetry and Remote Sensing 158 (2019): 249-262.

[5] Jining Yan, Lizhe Wang, Kim-Kwang Raymond Choo and Wei Jie. A cloud-based remote sensing data production system. Future Generation Computer Systems. 2017. http://dx.doi.org/10.1016/j.future.2017.02.044.

[6] Nan Wu, Jining Yan*, Dong Liang, Zhongchang Sun, Rajiv Ranjan, Jun Li. High-resolution mapping of GDP using multi-scale feature fusion by integrating remote sensing and POI data, International Journal of Applied Earth Observation and Geoinformation, 2024, 129, 103812.

[7]  Haixu He, Jining Yan*, Dong Liang, Zhongchang Sun, Jun Li, and Lizhe Wang. Time-series land cover change detection using deep learning-based temporal semantic segmentation. Remote Sensing of Environment 305 (2024): 114101.


代表性专著 & 教材:

[1] Lizhe Wang, Jining Yan, Yan Ma. Cloud Computing in Remote Sensing. 2019.7.10, CRC Press. ISBN: 978-1-138-59456-2.

[2] 阎继宁,陈云亮,王媛妮,宋维静。Python语言应用案例实践教程,科学出版社,2020ISBN978-7-03-065284-3.


发布的基准数据集:

[1] 土地覆盖时序变化遥感监测基准数据集CUG-FFireMCD1,依据全球火灾扰动事件制作的MODIS时序数据集,可以为遥感时间序列变化检测的模型优化和精度验证提供基准。访问链接https://github.com/CUG-BEODL/CUG-FFireMCD

[2] 时序遥感数据语义分割基准数据集,由采自新疆伊犁地区的Sentinel-2高质量光学无云时序遥感影像制作,可以为时序语义分割模型优化和精度验证提供基准。访问链接https://github.com/CUG-BEODL/MTAF-TST.git



国际会议:

[1] 2023-9,第三届可持续发展大数据国际论坛(FBAS2023), 北京,分会场共同主席

[2] 2023-8,全球智慧城市峰会暨第三届国际城市信息学大会(GSCS & ICUI 2023), 香港,分会场共同主席

[3] 2023-7 13届国际数字地球会议(ISDE2023),雅典,分会场共同主席

[4] 2022-11,第五届地学大数据国际研讨会(BED2022),武汉,分会场召集人

[5] 2020-1 第四届管理工程、软件工程与服务科学国际会议(ICMSS 2020),武汉,本地主席




代表性工程研发成果:


遥感云,基于课题组多年的研究积累及863课题项目经验,开发的基于云计算环境的遥感大数据一体化高性能服务平台,包含多数据中心框架下的自动数据集成、高性能组织与存储、快速检索与访问,高性能数据处理,分布式计算框架下的智能分析与深度挖掘、大区域尺度遥感制图等功能。