Seismic Damage Semantics on Post-Earthquake LOD3 Building Models Generated by UAS
暂无分享,去创建一个
Nikolaos Soulakellis | Georgios Tataris | Konstantinos Chaidas | N. Soulakellis | G. Tataris | K. Chaidas
[1] Stamatis Chatzistamatis,et al. Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data , 2020, ISPRS Int. J. Geo Inf..
[2] Xuedong Wen,et al. Accurate Reconstruction of the LoD3 Building Model by Integrating Multi-Source Point Clouds and Oblique Remote Sensing Imagery , 2019, ISPRS Int. J. Geo Inf..
[3] Andreas Donaubauer,et al. 3DCityDB - a 3D geodatabase solution for the management, analysis, and visualization of semantic 3D city models based on CityGML , 2018, Open Geospatial Data, Software and Standards.
[4] Filip Biljecki,et al. An improved LOD specification for 3D building models , 2016, Comput. Environ. Urban Syst..
[5] Edoardo Pasolli,et al. Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data , 2019, Remote. Sens..
[6] Jie Shan,et al. A comprehensive review of earthquake-induced building damage detection with remote sensing techniques , 2013 .
[7] M. Matsuoka,et al. Building Damage Mapping of the 2003 Bam, Iran, Earthquake Using Envisat/ASAR Intensity Imagery , 2005 .
[8] Andrea Adami,et al. UAV-Based Photogrammetry and Integrated Technologies for Architectural Applications—Methodological Strategies for the After-Quake Survey of Vertical Structures in Mantua (Italy) , 2015, Sensors.
[9] D. Dominici,et al. UAV photogrammetry in the post-earthquake scenario: case studies in L'Aquila , 2017 .
[10] Sameer Saran,et al. CityGML at semantic level for urban energy conservation strategies , 2015, Ann. GIS.
[11] Filip Biljecki,et al. Formalisation of the level of detail in 3D city modelling , 2014, Comput. Environ. Urban Syst..
[12] Bangjun Lei,et al. Method and application of using unmanned aerial vehicle for emergency investigation ofsingle geo-hazard , 2017 .
[13] Francesco Carlo Nex,et al. UAV-Based Structural Damage Mapping: A Review , 2019, ISPRS Int. J. Geo Inf..
[14] Norman Kerle. Remote Sensing Based Post-Disaster Damage Mapping with Collaborative Methods , 2013 .
[15] M. Westoby,et al. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .
[16] Masashi Matsuoka,et al. SAR and LIDAR Datasets for Building Damage Evaluation Based on Support Vector Machine and Random Forest Algorithms—A Case Study of Kumamoto Earthquake, Japan , 2020, Applied Sciences.
[17] T. H. Kolbe,et al. CityGML: Interoperable Access to 3D City Models , 2005 .
[18] Thomas H. Kolbe,et al. Representing and Exchanging 3D City Models with CityGML , 2009 .
[19] Filip Biljecki,et al. Applications of 3D City Models: State of the Art Review , 2015, ISPRS Int. J. Geo Inf..
[20] Simon Plank,et al. Rapid Damage Assessment by Means of Multi-Temporal SAR - A Comprehensive Review and Outlook to Sentinel-1 , 2014, Remote. Sens..
[21] Haigang Sui,et al. Detecting Damaged Building Regions Based on Semantic Scene Change from Multi-Temporal High-Resolution Remote Sensing Images , 2017, ISPRS Int. J. Geo Inf..
[22] Laura Giurca Vasilescu,et al. Disaster Management CYCLE – a theoretical approach , 2008 .
[23] Norman Kerle,et al. Mobile augmented reality in support of building damage and safety assessment , 2015 .
[24] Ying Wu,et al. Development of an UAS for post-earthquake disaster surveying and its application in Ms7.0 Lushan Earthquake, Sichuan, China , 2014, Comput. Geosci..
[25] Filip Biljecki,et al. An application-driven LOD modeling paradigm for 3D building models , 2020 .
[26] A. Vetrivel,et al. Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images , 2015 .
[27] Andrea Maria Lingua,et al. HBIM-GIS Integration: From IFC to CityGML Standard for Damaged Cultural Heritage in a Multiscale 3D GIS , 2020, Applied Sciences.
[28] Lutz Plümer,et al. CityGML – Interoperable semantic 3D city models , 2012 .
[29] Sisi Zlatanova,et al. UML-Based Approach to Developing a CityGML Application Domain Extension , 2013, Trans. GIS.
[30] George Vosselman,et al. Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks , 2020, Remote. Sens..
[31] Masashi Matsuoka,et al. Use of Satellite SAR Intensity Imagery for Detecting Building Areas Damaged Due to Earthquakes , 2004 .
[32] Teresa Santos,et al. 3D City Models as a Visual Support Tool for the Analysis of Buildings Seismic Vulnerability: The Case of Lisbon , 2017, International Journal of Disaster Risk Science.