| [1] |
Jia H, Lin J, Liu J. 2019. 全球地震灾害发展趋势综述. [The review of serious earthquake across the globe]. 震灾防御技术 [Technology for Earthquake Disaster Prevention] 14(4):821−828 (in Chinese) |
| [2] |
Oh BK, Park HS. 2022. Urban safety network for long-term structural health monitoring of buildings using convolutional neural network. |
| [3] |
Zhang Y, Zheng S, Sun L, Long L, Yang W, et al. 2021. Developing GIS-based earthquake loss model: a case study of Baqiao District, China. |
| [4] |
Osco LP, Marcato Junior J, Ramos APM, de Castro Jorge LA, Fatholahi SN, et al. 2021. A review on deep learning in UAV remote sensing. |
| [5] |
Acar H, Karsli F, Ozturk M, Dihkan M. 2019. Automatic detection of building roofs from point clouds produced by the dense image matching technique. |
| [6] |
Verykokou S, Ioannidis C. 2018. Oblique aerial images: a review focusing on georeferencing procedures. |
| [7] |
Zhuo X, Fraundorfer F, Kurz F, Reinartz P. 2018. Optimization of OpenStreetMap building footprints based on semantic information of oblique UAV images. |
| [8] |
Zhou J, Liu Y, Nie G, Cheng H, Yang X, et al. 2022. Building extraction and floor area estimation at the village level in rural China via a comprehensive method integrating UAV photogrammetry and the novel EDSANet. |
| [9] |
Verykokou S, Ioannidis C, Athanasiou G, Doulamis N, Amditis A. 2018. 3D reconstruction of disaster scenes for urban search and rescue. |
| [10] |
Pilinja Subrahmanya P, Haridas Aithal B, Mitra S. 2021. Automatic extraction of buildings from UAV-based imagery using artificial neural networks. |
| [11] |
Biljecki F, Stoter J, Ledoux H, Zlatanova S, Çöltekin A. 2015. Applications of 3D city models: state of the art review. |
| [12] |
Yang B, Lee J. 2019. Improving accuracy of automated 3-D building models for smart cities. |
| [13] |
Ministry of Housing and Urban-Rural Development of the People's Republic of China. 2010. Technical code for three dimensional city modeling: CJJ/T 157-2010 [城市三维建模技术规范: CJJ/T 157-2010]. Beijing: China Architecture & Building Press |
| [14] |
Lee DS, Shan J, Bethel JS. 2003. Class-guided building extraction from IKONOS imagery. |
| [15] |
Chen T, Guestrin C. 2016. XGBoost: a scalable tree boosting system. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: Association for Computing Machinery. pp. 785−794 doi: 10.1145/2939672.2939785 |
| [16] |
Freund Y, Schapire RE. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. |