Three-dimensional modeling of ancient yiyuan architecture using static laser scanning technology

[1] Somrak, M., Deroski, S., & Kokalj, I. (2020). Learning to classify structures in als-derived visualizations of ancient maya settlements with cnn. Remote Sensing, 12(14), 2215. Search in Google Scholar

[2] Bacco, M., Barsocchi, P., Cassara, P., Germanese, D., & Tampucci, M. (2020). Monitoring ancient buildings: real deployment of an iot system enhanced by uavs and virtual reality. IEEE Access, PP(99), 1-1. Search in Google Scholar

[3] Shao, H., Chen, Y., Yang, Z., Jiang, C., & Hyypp, J. (2020). Feasibility study on hyperspectral lidar for ancient huizhou-style architecture preservation. Remote Sensing. Search in Google Scholar

[4] Biswas, H. K. (2020). Automatic planning for scanning: optimizing 3d laser scanning operations using bim and tls. IAENG International Journal of Computer Science, 46(3). Search in Google Scholar

[5] Yang, J., & Li, Q. (2022). Digital protection of ancient buildings based on bim simulation technology. Advances in multimedia(Pt.1), 2022. Search in Google Scholar

[6] Wang, P. X., Zhang, W., Li, S. C., Hu, C. Y., Macchioni, N., & Yuan, J. L., et al. (2018). Minimally invasive detection technologies for the defects in ancient timber structural building. Key Engineering Materials, 777. Search in Google Scholar

[7] O’Donnell, J., Truong-Hong, L., Boyle, N., Corry, E., Cao, J., & Laefer, D. F. (2019). Lidar point-cloud mapping of building facades for building energy performance simulation. Automation in construction, 107(Nov.), 102905.1-102905.16. Search in Google Scholar

[8] Jaewook, J., Yoonseok, J., & Gunho, S. (2017). Implicit regularization for reconstructing 3d building rooftop models using airborne lidar data. Sensors, 17(621). Search in Google Scholar

[9] Zhang, Z., Vosselman, G., Gerke, M., Persello, C., & Yang, M. Y. (2019). Detecting building changes between airborne laser scanning and photogrammetric data. Remote Sensing, 11(20), 2417-. Search in Google Scholar

[10] Yu, Q., Helmholz, P., & Belton, D. (2017). Semantically enhanced 3d building model reconstruction from terrestrial laser-scanning data. Journal of Surveying Engineering, 143(4), 04017015.1-04017015.9. Search in Google Scholar

[11] Ma, S. (2020). Three-dimensional laser combined with bim technology for building modeling, information data acquisition and monitoring. Nonlinear Optics, Quantum Optics, 52(3a4). Search in Google Scholar

[12] Kwoczynska, B., & Malysa, B. (2022). Integration of data obtained from laser scanning and uav used to develop a 3d model of the building object. Archives of civil engineering. Search in Google Scholar

[13] Trzeciak, M., & Brilakis, I. (2023). Dense 3d reconstruction of building scenes by ai-based camera–lidar fusion and odometry. Journal of computing in civil engineering. Search in Google Scholar

[14] Yu, M. X., Ji, Z. H., Han, J., Liu, W. X., Zhang, H., & Lin, L. S., et al. (2023). On the application of three-dimensional (3-d) laser scanning technology in historic building elevation drawing. Lasers in engineering. Search in Google Scholar

[15] Uotila, U., Saari, A., & Junnonen, J. M. (2021). Investigating the barriers to laser scanning implementation in building refurbishment. Journal of Information Technology in Construction(14). Search in Google Scholar

[16] Terlikowski, W., Gregoriou-Szczepaniak, M., Sobczynska, E., & Wasilewski, K. (2021). Advantages of using 3d scanning in the survey of architectural monuments on example of archeological sites in egypt and russia. Archives of civil engineering(1), 67. Search in Google Scholar

[17] Koeva, M., Luleva, M., & Maldjanski, P. (2017). Integrating spherical panoramas and maps for visualization of cultural heritage objects using virtual reality technology. Sensors, 17(4), 829. Search in Google Scholar

[18] Owda, A., Balsa-Barreiro, José, & Fritsch, D. (2018). Methodology for digital preservation of the cultural and patrimonial heritage: generation of a 3d model of the church st. peter and paul (calw, germany) by using laser scanning and digital photogrammetry. Sensor Review, SR-06-2017-0106. Search in Google Scholar

[19] Liu, X., Chen, Y., Cheng, L., Yao, M., & Cai, D. (2017). Airborne laser scanning point clouds filtering method based on the construction of virtual ground seed points. Journal of Applied Remote Sensing, 11(1), 016032. Search in Google Scholar

[20] Dong, J. (2017). Research and application of virtual reality technology in the restoration of ancient buildings in huizhou. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 62(1), 289-299. Search in Google Scholar

[21] Casula, G., Fais, S., Cuccuru, F., Bianchi, M. G., & Ligas, P. (2023). Diagnostic process of an ancient colonnade using 3d high-resolution models with non-invasive multi techniques. Sensors (Basel, Switzerland), 23. Search in Google Scholar

[22] K. Yuan & W.D. Zhu.(2024).A novel mirror-assisted method for full-field vibration measurement of a hollow cylinder using a three-dimensional continuously scanning laser Doppler vibrometer system. Mechanical Systems and Signal Processing111428-. Search in Google Scholar

[23] Piao Weiying,Yuan Yibao & Lin Haijun.(2018).A Digital Image Denoising Algorithm Based on Gaussian Filtering and Bilateral Filtering.ITM Web of Conferences01006-01006. Search in Google Scholar

[24] Gaofan Ji,Yunhan He,Chuanxiang Li,Li Fan,Haibo Wang & Yantong Zhu.(2024).A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter. Electronics (9), 1777-. Search in Google Scholar

[25] Zhu Guokai,Li Chunmei & Zhong Yuexi.(2022).Point cloud registration method based on Particle Swarm Optimization algorithm and improved ICP.Journal of Physics: Conference Series(1). Search in Google Scholar

[26] Spieringhs Rik Marco,Audenaert Jan,Smet Kevin,Heynderickx Ingrid & Hanselaer Peter.(2023).Road marking BRDF model applicable for a wide range of incident illumination conditions.Journal of the Optical Society of America. A, Optics, image science, and vision(3),590-601. Search in Google Scholar