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International Journal of Geographical Information Science Volume 24, 2010 - Issue 2
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Research Articles

Utilising urban context recognition and machine learning to improve the generalisation of buildings

S. Steiniger Department of Geography, University of Calgary, Calgary, AB, Canada; Department of Geography, University of Zurich, Zurich, SwitzerlandCorrespondence[email protected]
,
Patrick Taillandier Laboratoire COGIT, Institute Géographique National, Saint Mandé Cedex, France
&
Robert Weibel Department of Geography, University of Zurich, Zurich, Switzerland
Pages 253-282 | Received 13 Jul 2007, Accepted 01 Feb 2009, Published online: 01 Mar 2010

Citations (14)

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Read on this site (3)

Rong Zhao, Tinghua Ai, Wenhao Yu, Yakun He & Yilang Shen. (2020) Recognition of building group patterns using graph convolutional network. Cartography and Geographic Information Science 47:5, pages 400-417.
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Izabela Karsznia & Robert Weibel. (2018) Improving settlement selection for small-scale maps using data enrichment and machine learning. Cartography and Geographic Information Science 45:2, pages 111-127.
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Cheng Fu, Zhiyong Zhou, Yu Feng & Robert Weibel. Keeping walls straight: data model and training set size matter for deep learning in building generalization. Cartography and Geographic Information Science 0:0, pages 1-16.
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Articles from other publishers (11)

Renjian Zhai, Anping Li, Jichong Yin, Jiawei Du & Yue Qiu. (2022) A Progressive Simplification Method for Buildings Based on Structural Subdivision. ISPRS International Journal of Geo-Information 11:7, pages 393.
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Behnam Nikparvar & Jean-Claude Thill. (2021) Machine Learning of Spatial Data. ISPRS International Journal of Geo-Information 10:9, pages 600.
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Zhiwei Wei, Yang Liu, Lu Cheng & Su Ding. (2021) A Progressive and Combined Building Simplification Approach with Local Structure Classification and Backtracking Strategy. ISPRS International Journal of Geo-Information 10:5, pages 302.
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Peijun Du, Xuyu Bai, Kun Tan, Zhaohui Xue, Alim Samat, Junshi Xia, Erzhu Li, Hongjun Su & Wei Liu. (2020) Advances of Four Machine Learning Methods for Spatial Data Handling: a Review. Journal of Geovisualization and Spatial Analysis 4:1.
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Xianjin He, Xinchang Zhang & Qinchuan Xin. (2018) Recognition of building group patterns in topographic maps based on graph partitioning and random forest. ISPRS Journal of Photogrammetry and Remote Sensing 136, pages 26-40.
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Zhiwei Wei, Jie He, Lin Wang, Yong Wang & Qingsheng Guo. (2018) A Collaborative Displacement Approach for Spatial Conflicts in Urban Building Map Generalization. IEEE Access 6, pages 26918-26929.
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Lin Wang, Qingsheng Guo, Yuangang Liu, Yageng Sun & Zhiwei Wei. (2017) Contextual Building Selection Based on a Genetic Algorithm in Map Generalization. ISPRS International Journal of Geo-Information 6:9, pages 271.
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Xiongfeng Yan, Tinghua Ai & Xiang Zhang. (2017) Template Matching and Simplification Method for Building Features Based on Shape Cognition. ISPRS International Journal of Geo-Information 6:8, pages 250.
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Baowei Wang, Xiaodu Gu, Li Ma & Shuangshuang Yan. 2016. Cloud Computing and Security. Cloud Computing and Security 117 132 .
Boyan Cheng, Qiang Liu & Xiaowen Li. (2014) Local Perception-Based Intelligent Building Outline Aggregation Approach with Back Propagation Neural Network. Neural Processing Letters 41:2, pages 273-292.
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T. Hermosilla, L.A. Ruiz, J.A. Recio & M. Cambra-López. (2012) Assessing contextual descriptive features for plot-based classification of urban areas. Landscape and Urban Planning 106:1, pages 124-137.
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