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Baode Jiang, Shaofen Xu & Zhiwei Li. (2023) Polyline simplification using a region proposal network integrating raster and vector features. GIScience & Remote Sensing 60:1.
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Xiongfeng Yan & Min Yang. (2023) A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints. Cartography and Geographic Information Science 0:0, pages 1-18.
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Guillaume Touya, Quentin Potié & William A. Mackaness. (2023) Incorporating ideas of structure and meaning in interactive multi scale mapping environments. International Journal of Cartography 9:2, pages 342-372.
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Tianyuan Xiao, Tinghua Ai, Huafei Yu, Min Yang & Pengcheng Liu. (2023) A point selection method in map generalization using graph convolutional network model. Cartography and Geographic Information Science 0:0, pages 1-21.
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Azelle Courtial, Guillaume Touya & Xiang Zhang. (2023) Deriving map images of generalised mountain roads with generative adversarial networks. International Journal of Geographical Information Science 37:3, pages 499-528.
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Jiawei Du, Fang Wu, Ruixing Xing, Xianyong Gong & Linyi Yu. (2022) Segmentation and sampling method for complex polyline generalization based on a generative adversarial network. Geocarto International 37:14, pages 4158-4180.
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Jiawei Du, Fang Wu, Jichong Yin, Chengyi Liu & Xianyong Gong. (2022) Polyline simplification based on the artificial neural network with constraints of generalization knowledge. Cartography and Geographic Information Science 49:4, pages 313-337.
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Jakub Wabiński, Albina Mościcka & Guillaume Touya. (2022) Guidelines for Standardizing the Design of Tactile Maps: A Review of Research and Best Practice. The Cartographic Journal 59:3, pages 239-258.
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Xiongfeng Yan, Tinghua Ai, Min Yang, Xiaohua Tong & Qian Liu. (2022) A graph deep learning approach for urban building grouping. Geocarto International 37:10, pages 2944-2966.
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Xiongfeng Yan, Tinghua Ai, Min Yang & Xiaohua Tong. (2021) Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps. International Journal of Geographical Information Science 35:3, pages 490-512.
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Articles from other publishers (20)
Martin Knura & Jochen Schiewe. 2024. Volunteered Geographic Information. Volunteered Geographic Information
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Huafei Yu, Tinghua Ai, Min Yang, Jingzhong Li, Lu Wang, Aji Gao, Tianyuan Xiao & Zhe Zhou. (2023) Integrating domain knowledge and graph convolutional neural networks to support river network selection. Transactions in GIS 27:7, pages 1898-1927.
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Zhiyong Zhou, Cheng Fu & Robert Weibel. (2023) Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network. ISPRS Journal of Photogrammetry and Remote Sensing 202, pages 205-218.
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Natalia Blana, Ioannis Kavadas & Lysandros Tsoulos. (2023) A Constraint-Based Generalization Model Incorporating a Quality Control Mechanism. Geographies 3:2, pages 321-343.
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Simon Scheider & Kai-Florian Richter. (2023) Pragmatic GeoAI: Geographic Information as Externalized Practice. KI - Künstliche Intelligenz 37:1, pages 17-31.
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Joanna Bac-Bronowicz, Piotr Banasik & Tadeusz Chrobak. (2023) Automatic simplification of the geometry of a cartographic line using contractive self-mapping – illustrated with an example of a polyline band. Polish Cartographical Review 55:1, pages 73-86.
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Anqi Rong & Guanyu Li. (2023) Visually Impaired Children with Special Educational Needs: Identifying Suitable Tactile Graphics Learning Materials. SHS Web of Conferences 174, pages 01003.
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Xiongfeng Yan & Min Yang. (2022) A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects. ISPRS International Journal of Geo-Information 11:10, pages 527.
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Natalia Blana & Lysandros Tsoulos. (2022) Generalization of Linear and Area Features Incorporating a Shape Measure. ISPRS International Journal of Geo-Information 11:9, pages 489.
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Wenhao Yu & Yujie Chen. (2022) Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network. Transactions in GIS 26:5, pages 2302-2325.
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Lars Harrie, Rachid Oucheikh, Åsa Nilsson, Andreas Oxenstierna, Pontus Cederholm, Lai Wei, Kai-Florian Richter & Perola Olsson. (2022) Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions. Journal of Geovisualization and Spatial Analysis 6:1.
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A. Courtial, G. Touya & X. Zhang. (2022) Constraint-Based Evaluation of Map Images Generalized by Deep Learning. Journal of Geovisualization and Spatial Analysis 6:1.
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Yaohui Hu, Chun Liu, Zheng Li, Junkui Xu, Zhigang Han & Jianzhong Guo. (2022) Few-Shot Building Footprint Shape Classification with Relation Network. ISPRS International Journal of Geo-Information 11:5, pages 311.
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Tian Lan, Zhilin Li, Jicheng Wang, Chengyin Gong & Peng Ti. (2022) An ANNs-Based Method for Automated Labelling of Schematic Metro Maps. ISPRS International Journal of Geo-Information 11:1, pages 36.
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Chun Liu, Yaohui Hu, Zheng Li, Junkui Xu, Zhigang Han & Jianzhong Guo. (2021) TriangleConv: A Deep Point Convolutional Network for Recognizing Building Shapes in Map Space. ISPRS International Journal of Geo-Information 10:10, pages 687.
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Barbara P. Buttenfield, Lawrence V. Stanislawski, Barry J. Kronenfeld & Ethan Shavers. 2021. Handbook of Big Geospatial Data. Handbook of Big Geospatial Data
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Guillaume Touya & Imran Lokhat. (2020) Deep Learning for Enrichment of Vector Spatial Databases. ACM Transactions on Spatial Algorithms and Systems 6:3, pages 1-21.
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Quy Truong, Guillaume Touya & Cyril Runz. (2020) OSMWatchman: Learning How to Detect Vandalized Contributions in OSM Using a Random Forest Classifier. ISPRS International Journal of Geo-Information 9:9, pages 504.
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Azelle Courtial, Achraf El Ayedi, Guillaume Touya & Xiang Zhang. (2020) Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation. ISPRS International Journal of Geo-Information 9:5, pages 338.
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Viet Trinh & Roberto Manduchi. 2020. Computers Helping People with Special Needs. Computers Helping People with Special Needs
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