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Tinghua Ai
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2020 – today
- 2024
- [j65]Aji Gao, Tinghua Ai, Huafei Yu
, Tianyuan Xiao, Yuejun Chen, Jingzhong Li, Haosheng Huang
A vector-based coastline shape classification approach using sequential deep learning model. Int. J. Appl. Earth Obs. Geoinformation 129: 103810 (2024) - [j64]Jinghan Wang
Revealing association rules within intricate ecosystems: A spatial co-location mining method based on Geo-Eco knowledge graph. Int. J. Appl. Earth Obs. Geoinformation 133: 104116 (2024) - [j63]Min Yang, Minjun Cao, Lingya Cheng, Huiping Jiang, Tinghua Ai, Xiongfeng Yan:
Classification of urban interchange patterns using a model combining shape context descriptor and graph convolutional neural network. Geo spatial Inf. Sci. 27(5): 1622-1637 (2024) - [j62]Mengjie Zhou
Rethinking the null hypothesis in significant colocation pattern mining of spatial flows. J. Geogr. Syst. 26(3): 375-405 (2024) - [j61]Bo Kong, Tinghua Ai, Xinyan Zou, Xiongfeng Yan, Min Yang:
A graph-based neural network approach to integrate multi-source data for urban building function classification. Comput. Environ. Urban Syst. 110: 102094 (2024) - 2023
- [j60]Huafei Yu
A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation. Int. J. Digit. Earth 16(1): 1828-1852 (2023) - [j59]Huafei Yu, Tinghua Ai, Min Yang, Lina Huang, Aji Gao:
Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network. Expert Syst. Appl. 211: 118639 (2023) - [j58]Lu Wang, Tinghua Ai
A hexagon-based method for polygon generalization using morphological operators. Int. J. Geogr. Inf. Sci. 37(1): 88-117 (2023) - [j57]Yilang Shen, Rong Zhao, Tinghua Ai, Fengfeng Han, Su Ding:
A raster-based method for the hierarchical selection of river networks based on stream characteristics. Int. J. Geogr. Inf. Sci. 37(10): 2262-2287 (2023) - [j56]Junbo Yu
Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel Segmentation. ISPRS Int. J. Geo Inf. 12(6): 244 (2023) - [j55]Huafei Yu, Tinghua Ai
Integrating domain knowledge and graph convolutional neural networks to support river network selection. Trans. GIS 27(7): 1898-1927 (2023) - 2022
- [j54]Huafei Yu
A recognition method for drainage patterns using a graph convolutional network. Int. J. Appl. Earth Obs. Geoinformation 107: 102696 (2022) - [j53]Min Yang
A hybrid approach to building simplification with an evaluator from a backpropagation neural network. Int. J. Geogr. Inf. Sci. 36(2): 280-309 (2022) - [j52]Wenhao Yu
Sparse reconstruction with spatial structures to automatically determine neighbors. Int. J. Geogr. Inf. Sci. 36(2): 338-359 (2022) - [j51]Min Yang
Detecting interchanges in road networks using a graph convolutional network approach. Int. J. Geogr. Inf. Sci. 36(6): 1119-1139 (2022) - [j50]Fanghong Ye, Tinghua Ai
A Method for Classifying Complex Features in Urban Areas Using Video Satellite Remote Sensing Data. Remote. Sens. 14(10): 2324 (2022) - [j49]Yilang Shen
Multilevel Mapping From Remote Sensing Images: A Case Study of Urban Buildings. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j48]Zongshun Tian
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data. Comput. Environ. Urban Syst. 95: 101804 (2022) - 2021
- [j47]Wenhao Yu
An integrated method for DEM simplification with terrain structural features and smooth morphology preserved. Int. J. Geogr. Inf. Sci. 35(2): 273-295 (2021) - [j46]Xiongfeng Yan
Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps. Int. J. Geogr. Inf. Sci. 35(3): 490-512 (2021) - [j45]Rui Xin, Tinghua Ai
A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data. ISPRS Int. J. Geo Inf. 10(6): 379 (2021) - 2020
- [j44]Mengjie Zhou
A Visualization Method for Mining Colocation Patterns Constrained by a Road Network. IEEE Access 8: 51933-51944 (2020) - [j43]Yilang Shen
A progressive method for the collapse of river representation considering geographical characteristics. Int. J. Digit. Earth 13(12): 1366-1390 (2020) - [j42]Yilang Shen
A tile-map-based method for the typification of artificial polygonal water areas considering the legibility. Comput. Geosci. 143: 104552 (2020) - [j41]Wenhao Yu
Road network generalization considering traffic flow patterns. Int. J. Geogr. Inf. Sci. 34(1): 119-149 (2020) - [j40]Pengcheng Liu
A multi-scale representation model of polyline based on head/tail breaks. Int. J. Geogr. Inf. Sci. 34(11): 2275-2295 (2020) - [j39]Yi Xiao, Tinghua Ai
A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization. ISPRS Int. J. Geo Inf. 9(4): 239 (2020) - [j38]Rong Zhao, Tinghua Ai
A Method for Generating Variable-Scale Maps for Small Displays. ISPRS Int. J. Geo Inf. 9(4): 250 (2020) - [j37]Yilang Shen
A Raster-Based Methodology to Detect Cross-Scale Changes in Water Body Representations Caused by Map Generalization. Sensors 20(14): 3823 (2020) - [j36]Lu Wang
The isotropic organization of DEM structure and extraction of valley lines using hexagonal grid. Trans. GIS 24(2): 483-507 (2020)
2010 – 2019
- 2019
- [j35]Yilang Shen
Extracting Centerlines From Dual-Line Roads Using Superpixel Segmentation. IEEE Access 7: 15967-15979 (2019) - [j34]Tinghua Ai
Shape Decision-Making in Map-Like Visualization Design Using the Simulated Annealing Algorithm. IEEE Access 7: 131577-131592 (2019) - [j33]Yilang Shen
A simplification of urban buildings to preserve geometric properties using superpixel segmentation. Int. J. Appl. Earth Obs. Geoinformation 79: 162-174 (2019) - [j32]Mengjie Zhou
A visualization approach for discovering colocation patterns. Int. J. Geogr. Inf. Sci. 33(3): 567-592 (2019) - [j31]Xiaodong Zhou
A PDF Tile Model for Geographic Map Data. ISPRS Int. J. Geo Inf. 8(9): 373 (2019) - [j30]Rui Xin, Tinghua Ai
Encoding and compressing hexagonal raster data by the Gosper curve. Trans. GIS 23(6): 1204-1231 (2019) - [j29]Yilang Shen
A polygon aggregation method with global feature preservation using superpixel segmentation. Comput. Environ. Urban Syst. 75: 117-131 (2019) - 2018
- [j28]Wenhao Yu
Potential Change of Spatial Accessibility to Health Services With the Opening of Private Streets in Shenzhen, China. IEEE Access 6: 72824-72835 (2018) - [j27]Xiang Zhang
Updating authoritative spatial data from timely sources: A multiple representation approach. Int. J. Appl. Earth Obs. Geoinformation 72: 42-56 (2018) - [j26]Yilang Shen
A new approach to simplifying polygonal and linear features using superpixel segmentation. Int. J. Geogr. Inf. Sci. 32(10): 2023-2054 (2018) - [j25]Yilang Shen
A New Approach to Line Simplification Based on Image Processing: A Case Study of Water Area Boundaries. ISPRS Int. J. Geo Inf. 7(2): 41 (2018) - [j24]Wei Yang, Tinghua Ai
POI Information Enhancement Using Crowdsourcing Vehicle Trace Data and Social Media Data: A Case Study of Gas Station. ISPRS Int. J. Geo Inf. 7(5): 178 (2018) - [j23]Rui Xin, Tinghua Ai
Metaphor Representation and Analysis of Non-Spatial Data in Map-Like Visualizations. ISPRS Int. J. Geo Inf. 7(6): 225 (2018) - [j22]Xiaodong Zhou
Change Detection for Building Footprints with Different Levels of Detail Using Combined Shape and Pattern Analysis. ISPRS Int. J. Geo Inf. 7(10): 406 (2018) - [j21]Wei Yang, Tinghua Ai
A Method for Extracting Road Boundary Information from Crowdsourcing Vehicle GPS Trajectories. Sensors 18(4): 1261 (2018) - [j20]Min Yang
A map-algebra-based method for automatic change detection and spatial data updating across multiple scales. Trans. GIS 22(2): 435-454 (2018) - [c15]Wei Lu, Wei Yang, Tinghua Ai
Evaluating Non-Motorized Transport Popularity of Urban Roads by Sports GPS Tracks. Geoinformatics 2018: 1-5 - [c14]Wei Yang, Wei Lu, Tinghua Ai
Cycle Periodic Behavior Detection and Sports Place Extraction Using Crowdsourced Running Trace Data. Geoinformatics 2018: 1-5 - [c13]Wei Lu, Tinghua Ai
Center Point of Simple Area Feature Based on Triangulation Skeleton Graph (Short Paper). GIScience 2018: 41:1-41:6 - [c12]Xiongfeng Yan, Tinghua Ai
Analysis of Irregular Spatial Data with Machine Learning: Classification of Building Patterns with a Graph Convolutional Neural Network (Short Paper). GIScience 2018: 69:1-69:7 - [i2]Wei Lu, Wei Yang, Tinghua Ai:
Evaluating Non-Motorized Transport Popularity of Urban Roads by Sports GPS Tracks. CoRR abs/1805.09601 (2018) - [i1]Xiongfeng Yan, Tinghua Ai:
Analysis of Irregular Spatial Data with Machine Learning: Classification of Building Patterns with a Graph Convolutional Neural Network. CoRR abs/1809.08196 (2018) - 2017
- [j19]Wenhao Yu
Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects. Int. J. Geogr. Inf. Sci. 31(2): 280-296 (2017) - [j18]Tinghua Ai
Envelope generation and simplification of polylines using Delaunay triangulation. Int. J. Geogr. Inf. Sci. 31(2): 297-319 (2017) - [j17]Wenhao Yu, Tinghua Ai
The analysis and measurement of building patterns using texton co-occurrence matrices. Int. J. Geogr. Inf. Sci. 31(6): 1079-1100 (2017) - [j16]Yakun He
A linear tessellation model to identify spatial pattern in urban street networks. Int. J. Geogr. Inf. Sci. 31(8): 1541-1561 (2017) - [j15]Lina Huang
A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data. ISPRS Int. J. Geo Inf. 6(7): 218 (2017) - [j14]Yilang Shen
A Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different Scales. ISPRS Int. J. Geo Inf. 6(8): 240 (2017) - [j13]Jingzhong Li
Continuous Scale Transformations of Linear Features Using Simulated Annealing-Based Morphing. ISPRS Int. J. Geo Inf. 6(8): 242 (2017) - [j12]Xiongfeng Yan
Template Matching and Simplification Method for Building Features Based on Shape Cognition. ISPRS Int. J. Geo Inf. 6(8): 250 (2017) - 2016
- [c11]Xiang Zhang, Tinghua Ai
Inferring Complex Geographical Concepts with Implicit Geometries Using Ontologies: A Case of Peninsulas. AGILE Conf. 2016: 21-36 - 2015
- [j11]Tinghua Ai
A vector field model to handle the displacement of multiple conflicts in building generalization. Int. J. Geogr. Inf. Sci. 29(8): 1310-1331 (2015) - [j10]Xiaohua Tong, Yanmin Jin, Lingyun Li, Tinghua Ai
Area-preservation Simplification of Polygonal Boundaries by the Use of the Structured Total Least Squares Method with Constraints. Trans. GIS 19(5): 780-799 (2015) - [j9]Yaolin Liu
A land-use spatial optimization model based on genetic optimization and game theory. Comput. Environ. Urban Syst. 49: 1-14 (2015) - [j8]Tinghua Ai
Generation of constrained network Voronoi diagram using linear tessellation and expansion method. Comput. Environ. Urban Syst. 51: 83-96 (2015) - 2013
- [j7]Xiang Zhang, Tinghua Ai
Building pattern recognition in topographic data: examples on collinear and curvilinear alignments. GeoInformatica 17(1): 1-33 (2013) - [j6]Xiang Zhang, Jantien E. Stoter
Automated evaluation of building alignments in generalized maps. Int. J. Geogr. Inf. Sci. 27(8): 1550-1571 (2013) - [j5]Tinghua Ai
A shape analysis and template matching of building features by the Fourier transform method. Comput. Environ. Urban Syst. 41: 219-233 (2013) - 2010
- [j4]Huanfeng Shen, Yaolin Liu, Tinghua Ai
Universal reconstruction method for radiometric quality improvement of remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 12(4): 278-286 (2010) - [j3]Xingjian Liu
Road selection based on Voronoi diagrams and "strokes" in map generalization. Int. J. Appl. Earth Obs. Geoinformation 12(Supplement-2): S194-S202 (2010) - [j2]Tinghua Ai
Constraints of progressive transmission of spatial data on the web. Geo spatial Inf. Sci. 13(2): 85-92 (2010) - [c10]Xiang Zhang, Tinghua Ai
Characterization and Detection of Building Patterns in Cartographic Data: Two Algorithms. SDH 2010: 93-107 - [c9]Xiang Zhang, Jantien E. Stoter
Formalization and Data Enrichment for Automated Evaluation of Building Pattern Preservation. SDH 2010: 109-125 - [c8]Jing Tian, Tinghua Ai
Graph Based Recognition of Grid Pattern in Street Networks. SDH 2010: 129-143
2000 – 2009
- 2009
- [c7]Ni-na Meng, Tinghua Ai
Representation and Calculation of Spatial Relations Difference Based on Conceptual Neighborhood. ICNC (5) 2009: 78-82 - [c6]Xiang Zhang, Tinghua Ai
A Voronoi-Like Model of Spatial Autocorrelation for Characterizing Spatial Patterns in Vector Data. ISVD 2009: 118-126 - 2008
- [c5]Tinghua Ai, Yun Shuai, Jingzhong Li:
The Shape Cognition and Query Supported by Fourier Transform. SDH 2008: 39-54 - 2007
- [c4]Tinghua Ai, Xiang Zhang:
The Aggregation of Urban Building Clusters Based on the Skeleton Partitioning of Gap Space. AGILE Conf. 2007: 153-170 - [c3]Jianguo Sun, Tinghua Ai
Assessing vegetation degradation in Loess Plateau by using potential vegetation index. IGARSS 2007: 1794-1797 - 2004
- [j1]Zhilin Li
Automated building generalization based on urban morphology and Gestalt theory. Int. J. Geogr. Inf. Sci. 18(5): 513-534 (2004) - [c2]Tinghua Ai, Zhilin Li
Progressive Transmission of Vector Data Based on Changes Accumulation Model. SDH 2004: 85-96 - 2001
- [c1]Tinghua Ai, Peter van Oosterom:
A Map Generalization Model Based on Algebra Mapping Transformation. ACM-GIS 2001: 21-27
Coauthor Index
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