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时空大数据：时空大数据分析、挖掘、模拟与可视化
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
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地理空间计算壁垒
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
- 混合功能用地结构变化驱动的城市热岛强度空间格局推演方法及高性能计算框架, 国家自然科学基金项目
- 基于高性能计算和深度学习的大尺度地区违法用地监测模拟和评估预警, 湖北省自然资源厅科研项目
- 基于GPU/CPU异构集群计算技术的高性能土地利用时空动态模拟研究
- 深部矿产资源评价理论与方法, 科技部重大专项
- 并行地理元胞自动机的计算强度时空变化模式及动态负载均衡方法研究, 国家自然科学基金项目
- 面向结构性和过程性特征的时空DNA及其在城市土地利用变化研究中的应用, 湖北省自然科学基金项目
- 长江流域资源环境大数据平台, 主管部门科技项目
- 城市地质环境时空透视与大数据融合关键技术, 国家自然科学基金项目
- 地质云教育节点试点, 主管部门科技项目-2019/05/01
- Big Data Computing for Geospatial Applications
- High-Performance GeoComputation with the Parallel Raster Processing Library. In: Thill JC., Dragicevic S. (eds) GeoComputational Analysis and Modeling of Regional Systems. Advances in Geographic Information Science
- Opportunities and Challenges for Urban Land-use and Land-cover Change Modeling in High-performance Computing. In: Shi, X. et al. (eds), Modern Accelerator Technologies for Geographic Information Science
- 融合多源时空数据的城市空气质量精细化估测方法及装置
- 一种基于射线计算单元的移动立方体并行计算方法及系统
- 基于空间约束多自编码器的多元地球化学异常识别方法
- 基于多卷积自编码神经网络的多元化探异常识别办法
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- 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
- Zhu, Q.; Li, Z.; Zhang, Y. & Guan, Q.* (2020). Building Extraction from High Spatial Resolution Remote Sensing Images via Multiscale-Aware and Segmentation-Prior Conditional Random Fields. Remote Sensing (MDPI, SCI), 2020(12): 3983. DOI: 10.3390/rs12233983
- Liu, S.; Yang, X.; Guan, Q.; Lu, Z. & Lu, J.* (2020). An Ensemble Modeling Framework for Distinguishing Nitrogen, Phosphorous and Potassium Deficiencies in Winter Oilseed Rape (Brassica napus L.) Using Hyperspectral Data. Remote Sensing (MDPI, SCI), 2020(12): 4060. DOI: 10.3390/rs12244060
- 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.; 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
- Lv, J.; Wang, Y.; Liang, X.*; Yao, Y.; Ma, T. & Guan, Q. (2021). Simulating urban expansion by incorporating an integrated gravitational field model into a demand-driven random forest-cellular automata model. Cities (SSCI). DOI: 10.1016/j.cities.2020.103044
- Liang, X.#; Tian, H.#; Li, X.*; Huang, J.; Clarke, K.; Yao, Y.; Guan, Q. & Hu, G.* (2021). Modeling the dynamics and walking accessibility of urban open spaces under various policy scenarios. Landscape and Urban Planning (SCI/SSCI). DOI: 10.1016/j.landurbplan.2020.103993
- Lyu, J.; Hu, Y.; Ren, S.; Yao, Y.*; Ding, D.; Guan, Q. & Tao, L. (2021) Extracting the Tailings Ponds From High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning‐Based Model. Remote Sensing (MDPI, SCI). 13, 743. DOI: 10.3390/rs13040743
- 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
- Wang, R.; Ren, S.; Zhang, J.; Yao, Y.*; Wang, Y. & Guan, Q. (2021) A comparison of two deep-learning-based urban perception models: which one is better? Computational Urban Science. 1(1), 1-13. DOI: 10.1007/s43762-021-00003-0
- 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
- Zhu, Q.; Wang, L.; Zeng, W.; Guan, Q. & Hu, Z.* (2021) A Sparse Topic Relaxion and Group Clustering Model for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (SCI), 14: 4014-4027. DOI: 10.1109/JSTARS.2021.3069574.
- 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
- Guo, M., Han, C., Guan, Q., Huang, Y. & Xie, Z. (2020). A universal parallel scheduling approach to polyline and polygon vector data buffer analysis on conventional GIS platforms. Transactions in GIS (SSCI). DOI: 10.1111/tgis.12670