中南大学 Tang Jianbo

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[1]Statistical and density-based clustering of geographical flows for crowd movement patterns recognition.Applied Soft Computing, 2024
[2]Identifying up-to-date urban land-use patterns with visual and semantic features based on multisource geospatial data.Sustainable Cities and Society, 2024
[3]Automatic road network selection method considering functional semantic features of roads with graph convolutional networks.International Journal of Geographical Information Science, 2024
[4]A movement-aware measure for trajectory similarity and its application for ride-sharing path extraction in a road network.International Journal of Geographical Information Science, 2024
[5]A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system.International Journal of Geographical Information Science, 2024
[6]Exploring Crowd Travel Demands Based on the Characteristics of Spatiotemporal Interaction between Urban Functional Zones.ISPRS International Journal of Geo-Information, 2023, 12 (6) : 255.
[7]Hazard Assessment of Rainfall–Induced Landslide Considering the Synergistic Effect of Natural Factors and Human Activities.sustainability, 2023 (5)
[8]顾及轨迹密度分布异质性的道路交叉口提取方法.测绘学报, 2023, 52 (6) : 1000-1009.
[9]顾及纹理特征差异性的遥感影像数据分区域多密级加密方法.测绘通报, 2023, 0 (4) : 23-28.
[10]Permutation-test-based clustering method for detection of dynamic patterns in Spatio-temporal datasets.Computers, Environment and Urban Systems, 2019, 75: 204-216.
[11]Two-stage permutation tests for determining homogeneity within a spatial cluster.International Journal of Geographical Information Science, 2019, 33 (9) : 1718-1738.
[12]On the use of Markov chain models for drought class transition analysis while considering spatial effects.Natural Hazards, 2020, 103: 2945–2959.
[13]Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities.Transactions in GIS, 2020, 24: 1359–1381.
[14]顾及功能语义特征的建筑物空间分布模式识别方法.测绘学报, 2020, 49 (5) : 622-631.
[15]一种顾及道路交通流量语义信息的路网选取方法.武汉大学学报· 信息科学版, 2020, 45 (9) : 1438-1447.
[16]Discovery of arbitrarily shaped significant clusters in spatial point data with noise.Applied Soft Computing, 2021
[17]Revealing spatiotemporal correlation of urban roads via traffic perturbation simulation.Sustainable Cities and Society, 2022
[18]空间层次聚类显著性判别的重排检验方法.测绘学报, 2016
[19]Recognizing building groups for generalization: a comparative study.Cartography and Geographic Information Science, 2017
[20]Automatic generation of road maps from low quality GPS trajectory data via structure learning.IEEE Access, 2018

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