Zhou, Kai, Wang, Zequn, Ni, Yi-Qing, Zhang, Yang, and Tang, Jiong. Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey. Retrieved from https://par.nsf.gov/biblio/10479125. Journal of Infrastructure Intelligence and Resilience 2.2 Web. doi:10.1016/j.iintel.2023.100031.

Zhou, Kai, Wang, Zequn, Ni, Yi-Qing, Zhang, Yang, & Tang, Jiong. Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey. Journal of Infrastructure Intelligence and Resilience, 2 (2). Retrieved from https://par.nsf.gov/biblio/10479125. https://doi.org/10.1016/j.iintel.2023.100031

Zhou, Kai, Wang, Zequn, Ni, Yi-Qing, Zhang, Yang, and Tang, Jiong. "Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey". Journal of Infrastructure Intelligence and Resilience 2 (2). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.iintel.2023.100031. https://par.nsf.gov/biblio/10479125.

@article{osti_10479125,
place = {Country unknown/Code not available}, title = {Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey}, url = {https://par.nsf.gov/biblio/10479125}, DOI = {10.1016/j.iintel.2023.100031}, abstractNote = {}, journal = {Journal of Infrastructure Intelligence and Resilience}, volume = {2}, number = {2}, publisher = {Elsevier}, author = {Zhou, Kai and Wang, Zequn and Ni, Yi-Qing and Zhang, Yang and Tang, Jiong}, }