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International Journal of Digital Earth Volume 12, 2019 - Issue 2: Human-Centered Virtual and Augmented Reality Geovisualization Environments
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Articles

Improving accuracy of automated 3-D building models for smart cities

Byungyun YangDepartment of Geography, DePaul University, Chicago, IL, USA
&
Jungil LeeShinhan Aerial Survey, Seoul, KoreaCorrespondence[email protected]
Pages 209-227 | Received 28 Jun 2017, Accepted 17 Oct 2017, Published online: 07 Nov 2017

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Guangling Lai, Xiaochong Tong, Yongsheng Zhang, Lu Ding, Yinling Sui, Yi Lei & Yong Zhang. (2020) A spatial multi-scale integer coding method and its application to three-dimensional model organization. International Journal of Digital Earth 13:10, pages 1151-1171.
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Emon Kumar Dey, Mohammad Awrangjeb & Bela Stantic. (2020) Outlier detection and robust plane fitting for building roof extraction from LiDAR data. International Journal of Remote Sensing 41:16, pages 6325-6354.
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Arzu Çöltekin, Danielle Oprean, Jan Oliver Wallgrün & Alexander Klippel. (2019) Where are we now? Re-visiting the Digital Earth through human-centered virtual and augmented reality geovisualization environments. International Journal of Digital Earth 12:2, pages 119-122.
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Articles from other publishers (14)

Fraj Hariz, Yassine Bouslimani & Mohsen Ghribi. (2023) High-Resolution Mobile Mapping Platform Using 15-mm Accuracy LiDAR and SPAN/TerraStar C-PRO Technologies. IEEE Journal on Miniaturization for Air and Space Systems 4:2, pages 122-135.
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Senyuan Wang, Xinyi Liu, Yongjun Zhang, Jonathan Li, Siyuan Zou, Jipeng Wu, Chuang Tao, Quan Liu & Guorong Cai. (2023) Semantic-guided 3D building reconstruction from triangle meshes. International Journal of Applied Earth Observation and Geoinformation 119, pages 103324.
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Xinyi Liu, Xianzhang Zhu, Yongjun Zhang, Senyuan Wang & Chen Jia. (2023) Generation of concise 3D building model from dense meshes by extracting and completing planar primitives. The Photogrammetric Record 38:181, pages 22-46.
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Yue Ying, Mila Koeva, Monika Kuffer & Jaap Zevenbergen. (2022) Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation. ISPRS International Journal of Geo-Information 12:1, pages 2.
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Adrian Komadina & Željka Mihajlović. (2022) Automated 3D Urban Landscapes Visualization Using Open Data Sources on the Example of the City of ZagrebAutomatisierte 3D-Visualisierung urbaner Landschaften unter Verwendung offener Datenquellen am Beispiel der Stadt Zagreb. KN - Journal of Cartography and Geographic Information 72:2, pages 139-152.
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Marek Kulawiak. (2022) A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds. Remote Sensing 14:5, pages 1278.
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Emon Kumar Dey, Mohammad Awrangjeb, Fayez Tarsha Kurdi & Bela Stantic. (2021) Building Boundary Extraction from LiDAR Point Cloud Data. Building Boundary Extraction from LiDAR Point Cloud Data.
Chiehyeon Lim, Gi-Hyoug Cho & Jeongseob Kim. (2021) Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research. Technological Forecasting and Social Change 170, pages 120893.
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Anh Tuan Hoang, Van Viet Pham & Xuan Phuong Nguyen. (2021) Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process. Journal of Cleaner Production 305, pages 127161.
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Senyuan Wang, Guorong Cai, Ming Cheng, José Marcato Junior, Shangfeng Huang, Zongyue Wang, Songzhi Su & Jonathan Li. (2020) Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints. ISPRS Journal of Photogrammetry and Remote Sensing 170, pages 29-44.
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Mehmet Buyukdemircioglu & Sultan Kocaman. (2020) Reconstruction and Efficient Visualization of Heterogeneous 3D City Models. Remote Sensing 12:13, pages 2128.
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Byungyun Yang. (2019) Developing a Mobile Mapping System for 3D GIS and Smart City Planning. Sustainability 11:13, pages 3713.
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Sheng-ye Jin, Junichi Susaki, Ryota Miyagaki & Amane Kuriki. (2018) An Assessment of 3D Monte Carlo Simulator to Estimate Forest Bidirectional Reflectance Factor (BRF) with Slope Ground Condition. An Assessment of 3D Monte Carlo Simulator to Estimate Forest Bidirectional Reflectance Factor (BRF) with Slope Ground Condition.
Byungyun Yang & Israt Jahan. (2018) Comprehensive Assessment for Post-Disaster Recovery Process in a Tourist Town. Sustainability 10:6, pages 1842.
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