关庆锋 (教授)

教授 博士生导师 硕士生导师

性别：男

毕业院校：University of California, Santa Barbara

学历：博士研究生毕业

学位：哲学博士学位

所在单位：地理与信息工程学院

入职时间：2013-01-01

职务：副院长

学科：地理信息科学 地理空间信息工程

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个人简历

      关庆锋，中国地质大学（武汉）地理与信息工程学院教授、博士生导师、副院长；国家地理信息系统工程技术研究中心副主任、自然资源部国土碳汇智能监测与空间调控工程技术创新中心副主任；入选国家级高层次人才计划、国家级青年人才计划；获得湖北省自然科学基金“杰出青年”项目、中国高校GIS创新人物奖、地理信息科技进步一等奖（序1）；担任国际华人地理信息科学协会（CPGIS）候任主席、ACM SIGSPATIAL中国分会副主席、中国地理信息产业协会理论与方法工作委员会委员、中国地理学会地图学与地理信息系统专业委员会委员、中国测绘学会摄影测量与遥感专业委员会委员、中国测绘学会智慧城市工作委员会委员、中国环境科学学会生态环境模型专业委员会委员；担任《武汉大学学报•信息科学版》编委、《测绘工程》编委。研究方向包括时空大数据、空间计算智能、高性能空间计算和城市遥感。科研项目来自国家自然科学基金、科技部重点研发计划、教育部高等学校博士学科点专项基金、国土资源部地质信息技术重点实验室、湖北省自然科学基金、湖北省自然资源厅等。发表学术期刊论文150余篇，其中包括PNAS、RSE、ISPRS P&RS、AAAG、L&UP、IJGIS、CEUS、TGRS等国际重要SCI/SSCI期刊论文130余篇。


最新成果（*标注通讯作者）：

Zhu, Q.; Li, H.; Deng, W. & Guan, Q.* (2024) From Intra-Distinctiveness to Inter-Invariance: A Cycle-resemblance Few-shot Transformation Network for Cross Domain Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing (SCI). DOI: 10.1109/TGRS.2024.3445935

Zhu, Q.; Ran, L.; Zhang, Y. & Guan, Q.* (2024) Integrating geographic knowledge into deep learning for spatiotemporal local climate zone mapping derived thermal environment exploration across Chinese climate zones. ISPRS Journal of Photogrammetry and Remote Sensing (SCI), 217: 53-75. DOI: 10.1016/j.isprsjprs.2024.08.004

Yang, N.; Deng, Z.; Hu, F.; Guan, Q.*; Chao, Y. & Wan, L. (2024). Urban Perception Assessment from Street View Images Based on a Multifeature Integration Encompassing Human Visual Attention. Annals of the American Association of Geographers (SSCI). DOI: 10.1080/24694452.2024.2363783

Zhou, X.; Wang, J.; Wang, J. & Guan, Q.* (2024) Predicting air quality using a multi-scale spatiotemporal graph attention network. Information Sciences (SCI), 680: 121072. DOI: 10.1016/j.ins.2024.121072

Li, Y.; Guan, Q.*; Gu, J. & Jiang. X. (2024) A deep reinforcement learning with dynamic spatio-temporal graph model for solving urban logistics delivery planning problems. International Journal of Digital Earth (SCI), 17(1): 2376273. DOI: 10.1080/17538947.2024.2376273

Guan, Q.; Li, J.; Zhai, Y.; Liang, X. & Yao, Y.* (2024) HashGAT-VCA: A vector cellular automata model with hash function and graph attention network for urban land-use change simulation. Landscape and Urban Planning (SCI&SSCI), 250: 105145. DOI: 10.1016/j.landurbplan.2024.105145

Yang, X.; Fan, X.; Su, Y.; Guan, Q.* & Tang, L. (2024) TR2RM: an urban road network generation model based on multisource big data. International Journal of Digital Earth (SCI), 17(1): 2344596. DOI: 10.1080/17538947.2024.2344596

Yang, X.; Yun, S.; Guan, Q.* & Gao, H. (2024) rupMC: a ray-unit parallel marching cubes algorithm on CPU/GPU heterogeneous architectures. International Journal of Digital Earth (SCI), 17(1): 2340583. DOI: 10.1080/17538947.2024.2340583

Liang, X.; Guo, S.; Huang, C.; Wang, B.; Xiao, Y.; He, J.; Li, Y.; Wang, M. & Guan, Q*. (2024) Modeling the Subpixel Land-Use Dynamics and Its Influence on Urban Heat Islands: Impacts of Factors and Scale, and Population Exposure Risk. Sustainable Cities and Society (SCI), 107: 105417. DOI: 10.1016/j.scs.2024.105417

Gao, H.#; Liang, Z.#; Guan, Q.*; Liang, X. & Zeng, W. (2024) A parallel framework on hybrid architectures for raster-based geospatial cellular automata models. International Journal of Geographical Information Science (SCI&SSCI). DOI: 10.1080/13658816.2024.2343776

Zhu, Q.; Huang, X. & Guan, Q.* (2024) TabCtNet: Target-aware bilateral CNN-transformer network for single object tracking in satellite videos. International Journal of Applied Earth Observation and Geoinformation (SCI), 128: 103723. DOI: 10.1016/j.jag.2024.103723

Zhu, Q.; Li, Z.; Song, T.; Yao, L.; Guan, Q.* & Zhang, L. (2024) Unrestricted region and scale: Deep self-supervised building mapping framework across different cities from five continents. ISPRS Journal of Photogrammetry and Remote Sensing (SCI), 209: 344-367. DOI: 10.1016/j.isprsjprs.2024.01.021

Yao, Y.; Jiang, Y.; Sun, Z.; Li, L.; Chen, D.; Xiong, K.; Dong, A.; Cheng, T.; Zhang, H.; Liang, X. & Guan, Q.* (2024) Applicability and sensitivity analysis of vector cellular automata model for land cover change. Computers, Environment and Urban Systems (SSCI), 109: 102090. DOI: 10.1016/j.compenvurbsys.2024.102090

Guan, Q.; Wang, J.; Ren, S.; Gao, H.; Liang, Z.; Wang, J. & Yao, Y.* (2024) Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network. International Journal of Geographical Information Science (SCI&SSCI), DOI: 10.1080/13658816.2024.2310737

Li Y.; Bai M.; Guan Q.*; Ming Z.; Liang X.; Liu G. & Gao J. (2023) CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances. International Journal of Geographical Information Science (SCI&SSCI), 37(10): 2175-2204. DOI: 10.1080/13658816.2023.2249521

Gao, H.; Peng, X.; Guan, Q.*; Wang, J.; Liu, Z.; Yang, X. & Zeng, W. (2023) mcRPL: a general purpose parallel raster processing library on distributed heterogeneous architectures. International Journal of Geographical Information Science (SCI&SSCI), 37(9): 2043-2066. DOI: 10.1080/13658816.2023.2244550

Yao, Y.; Guo, Z.; Dou, C.; Jia, M.; Hong, Y.; Guan, Q.* & Luo, P.* (2023) Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism. Computers, Environment and Urban Systems (SSCI), 104: 102009. DOI: 10.1016/j.compenvurbsys.2023.102009

Liang, Z.; Wang, J.; Ren, S.; Yu, Y. & Guan, Q.* (2023). A novel framework for detecting non-recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector. Transactions in GIS (SSCI). DOI: 10.1111/tgis.13022

Guan, Q.; Zhou, J.; Wang, R.; Yao, Y.*; Qian, C.; Zhai, Y. & Ren, S. (2022) Understanding China’s urban functional patterns at the county scale by using time-series social media data. Journal of Spatial Science (SCI). DOI: 10.1080/14498596.2022.2125095

Yang, X.; Chen, J.; Guan, Q.*; Gao, H. & Xia, W. (2022) Enhanced Spatial-Temporal Savitzky-Golay Method for Reconstructing High-Quality NDVI Time Series: Reduced Sensitivity to Quality Flags and Improved Computational Efficiency. IEEE Transactions on Geoscience and Remote Sensing (SCI). DOI: 10.1109/TGRS.2022.3190475

Guan, Q.; Ren, S.; Chen, L.; Yao, Y.*; Hu, Y.; Wang, R.; Feng, B.; Gu, L. & Chen, W. (2022) Recognizing Multivariate Geochemical Anomalies Related to Mineralization by Using Deep Unsupervised Graph Learning. Natural Resources Research (SCI). DOI: 10.1007/s11053-022-10088-x

Zhu, Q.*; Lei, Y.; Sun, X.; Guan, Q.*; Zhong, Y.; Zhang, L. & Li, D. (2022) Knowledge-guided land pattern depiction for urban land use mapping: A case study of Chinese cities. Remote Sensing of Environment (SCI), 272 (2022) :112916. DOI: 10.1016/j.rse.2022.112916

Zhu, Q.; Guo, X.; Deng, W.; Guan, Q.*; Zhong Y.; Zhang, L. & Li, D. (2021) Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing (SCI), 184 (2022): 63-78. DOI: 10.1016/j.isprsjprs.2021.12.005

Guan, Q.; Yao, Y.*; Ma, T.*; Hong, Y.; Bei, Y. & Lyu, J. (2021) Under the Dome: A 3D Urban Texture Model and Its Relationship with Urban Land Surface Temperature. Annals of the American Association of Geographers (SSCI). DOI: 10.1080/24694452.2021.1972790

Zhu, Q.; Zhang, Y.; Li, Z.; Yan, X.; Guan, Q.*; Zhong, Y.; Zhang, L. & Li, D. (2021) Oil Spill Contextual and Boundary-Supervised Detection Network Based on Marine SAR Images. IEEE Transactions on Geoscience and Remote Sensing (SCI). DOI: 10.1109/TGRS.2021.3115492

Zhu, Q.; Chen, J.; Wang, L. & Guan, Q.* (2021) Proportion Estimation for Urban Mixed Scenes Based on Nonnegative Matrix Factorization for High-Spatial Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (SCI). DOI:10.1109/JSTARS.2021.3119988

Pan, Y.; Zeng, W.; Guan, Q.*; Yao, Y.; Liang, X.; Zhai, Y. & Pu, S. (2021) Variability in and mixtures among residential vacancies at granular levels: Evidence from municipal water consumption data. Computers, Environment and Urban Systems (SSCI), 90(2021): 101702. DOI: 10.1016/j.compenvurbsys.2021.101702

Coulibaly, L. K.; Guan, Q.*; Assoma, T. V.; Fan, X. & Coulibaly, N. (2021) Coupling linear spectral unmixing and RUSLE2 to model soil erosion in the Boubo coastal watershed, Coˆte d’Ivoire. Ecological Indicators (SCI). 130(2021): 108092. DOI: 10.1016/j.ecolind.2021.108092

朱祺琪, 李真, 张亚男, 李佳伦, 杜禹强, 关庆锋*, 李德仁. (2021) 全局局部细节保持的深度条件随机场用于高分辨率遥感影像建筑物提取. 遥感学报 (EI). 25(7): 1422-1433. DOI: 10.11834/jrs.20210360

Guan, Q.; Ren, S.; Chen, L.; Feng, B. & Yao, Y.* (2021) A spatial-compositional feature fusion convolutional autoencoder for multivariate geochemical anomaly recognition. Computers & Geosciences (SCI), 156(2021): 104890. DOI: 10.1016/j.cageo.2021.104890

Gao, H.; Zhu, X.; Guan, Q.*; Yang, X.; Yao, Y.; Zeng, W. & Peng, X. (2021) cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units. IEEE Transactions on Geoscience and Remote Sensing (SCI). DOI: 10.1109/TGRS.2021.3080384

Yao, Y.; Wang, J.; Hong, Y.; Qian, C.; Guan, Q.*; Liang, X.; Dai, L. & Zhang, J. (2021) Discovering the homogeneous geographic domain of human perceptions from street view images. Landscape and Urban Planning (SCI&SSCI). 212 (2021) 104125. DOI: 10.1016/j.landurbplan.2021.104125

Zhu, Q.; Zhang, Y.; Wang, L.; Zhong, Y.; Guan, Q.*; Lu, X.; Zhang, L. & Li, D. (2021) A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing (SCI), 175(2021): 353-365. DOI: 10.1016/j.isprsjprs.2021.03.016

Yao, Y.; Zhang, J.; Qian, C.; Wang, Y.; Ren, S.; Yuan, Z. & Guan, Q.* (2021) Delineating urban job-housing patterns at a parcel scale with street view imagery. International Journal of Geographical Information Science (SCI&SSCI). DOI: 10.1080/13658816.2021.1895170

Liang, X.; Guan, Q.*; Clarke, K.; Liu, S.; Wang, B. & Yao, Y. (2021). Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China. Computers, Environment and Urban Systems (SSCI). DOI: 10.1016/j.compenvurbsys.2020.101569

Yao, Y; Liu, Y.; Guan, Q.*; Hong, Y.*; Wang, R.; Wang R. & Liang, X. (2021). Spatiotemporal distribution of human trafficking in China and predicting the locations of missing persons. Computers, Environment and Urban Systems (SSCI). DOI: 10.1016/j.compenvurbsys.2020.101567

Liang, X.; Guan, Q.*; Clarke, K. C.; Chen, G.; Guo, S. & Yao, Y. (2021). Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures. Landscape and Urban Planning (SCI&SSCI). DOI: 10.1016/j.landurbplan.2020.103960

教育经历

[1]   2003.9-2008.6

University of California, Santa Barbara  |  地理信息科学  |  哲学博士学位

[2]   2000.9-2003.6

中国科学院地理科学与资源研究所  |  地理科学  |  硕士

[3]   1996.9-2000.6

华东师范大学  |  地理科学  |  学士

工作经历

[1]   2013.1-至今

中国地质大学（武汉）  |  地理与信息工程学院  |  教授

[2]   2009.9-2012.12

美国内布拉斯加大学林肯分校 (UNL)  |  自然资源学院 (SNR) & 先进土地管理信息技术中心 （CALMIT）  |  助理教授

[3]   2008.8-2009.8

美国地质调查局（USGS）  |  地理空间信息科学中心 (CEGIS)  |  博士后

社会兼职

  • [1]   2022.11-至今    
    中国测绘学会-智慧城市工作委员会-委员

  • [2]   2022.6-至今    
    中国测绘学会-摄影测量与遥感专业委员会-委员

  • [3]   2022.1-至今    
    《武汉大学学报 • 信息科学版》-编辑委员会-委员

  • [4]   2022.1-至今    
    《测绘工程》-编辑委员会-委员

  • [5]   2024.1-至今    
    国际华人地理信息科学协会-候任主席

  • [6]   2021.8-至今    
    中国环境科学学会-生态环境模型专业委员会-委员

  • [7]   2024.1-至今    
    ACM SIGSPATIAL 中国分会-执行委员会-副主席

  • [8]   2019.10-至今    
    中国地理学会-地图学与地理信息系统专业委员会-委员

  • [9]   2017.1-至今    
    中国地理信息产业协会-理论与方法工作委员会-委员

研究方向

  • [1]   时空大数据：时空大数据分析、挖掘、模拟与可视化

  • [2]   空间计算智能：基于机器学习/人工智能的空间分析与时空模拟，解决复杂地理空间问题

  • [3]   高性能地理空间计算：利用并行计算技术，突破由大数据和复杂算法造成的计算壁垒，解决复杂地理空间问题

  • [4]   空间感知与计算：利用多源/多元数据，智能感知空间环境，分析和模拟空间环境变化，应用包括城市、土地利用与土地覆盖、地质、环境等

  • [5]   城市遥感：土地利用/覆盖分类，城市功能区识别

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    • 团队成员

    高性能空间计算智能实验室（微信公众号：HPSCIL）

    实验室以“城市智能感知与计算”为主题，开展包括遥感、数据库、计算构架、大数据分析与挖掘、时空模拟、可视化、工程实现、落地应用等方面的研究。在高性能空间计算平台和智能计算框架的支持下，开展以下四个方向的研究：
    （1）城市智能感知与计算（包括城市遥感）；
    （2）高性能空间计算及空间知识智能挖掘；
    （3）时空过程及人地关系模拟；
    （4）GIS系统研发以及时空数据可视化。
    在大数据的支持下为政府、企业以及居民等各级用户应对社会和环境变化提供技术保障和决策支持。
    实验室的建设目标为：形成城市智能化“感+知+用”的闭环全链条，实现“教学研用”的全方位人才覆盖以及企业+高校的紧密结合， 建设成为国内外具有重要影响的研究团队，在四个主要研究方向取得具有国际影响力的创新性成果，并将成果以系统、平台或政府报告的方式进行落地应用，实现产学研三位一体的结合。
    实验室包括教授6人、副教授10人，学科方向覆盖地理学、测绘科学与技术两个一级学科。现有博士研究生10余人、硕士研究生超过60人。