透過您的圖書館登入
IP:18.224.39.32
  • 期刊

An Assessment of Errors Using Unconventional Photogrammetric Measurement Technology-with UAV Photographic Images as an Example

並列摘要


Unconventional photogrammetric measurement technology, which offers features that include no specific camera measurement requirements, few constraints and the ability to take images with different types of equipment, has been used in recent years for emergency natural disaster size assessment and planning disaster relief and mitigation. However, the measurement errors associated with unconventional photogrammetric measurement technology have thus far not been standardized as have those associated with traditional photogrammetric technology. Using the Typhoon Morakot disaster area as a study area, this study used unmanned aerial vehicles (UAV) to overcome the limits of ground photographic shooting angles to conduct low-elevation photography of sediment disaster areas. Using unconventional photogrammetric measurement technology in the field of computer vision, this study established post-disaster environmental three-dimensional terrain data. With the maturation of virtual-base-station real-time kinematic (VBS-RTK) technology in recent years, it was possible in this study to conduct real-time positing by reference to ground control targets to meet goals concerning rapid assessment of disaster situations and disaster relief horizontal accuracy. In addition to introducing relevant technological integration methods, this study explored the technology’s data accuracy and its applications. The empirical results suggest that the horizontal accuracy of the technology studied is within 50 cm and the elevation accuracy is within 1 meter in most cases. Hence, the unconventional photogrammetric measurement technology described in this paper is suitable for use in making quantitative calculations of topographic data from sediment disaster regions as well as rapid disaster relief judgments.

並列關鍵字

Unmanned Aerial Vehicles UAV VBS-RTK Computer Vision Accuracy

參考文獻


Wang, M. S., Liu, C. C., Liou, J. L. and Hsiao, F. D., “Surveying Results Analysis on Virtual Base Station Real Time Kinematic Positioning System of e-GPS Base Station Network,” Journal of Cadastral Survey, Vol. 25, No. 2, pp. 1 21 (2006).
Doermann, D., “The Indexing and Retrieval of Document Images: a Survey, ” Comput. Vision Image Understand., Vol. 70, pp. 287 298 (1998). doi: 10.1006/ cviu.1998.0692
Masaki, I. (Ed.), “Vision-Based Vehicle Guidance,” Proceedings of the 1992 International Conference on Industrial Electronics Control Instrumentation and Automation, New York (1992). doi: 10.1109/IECON. 1992.254518
Bertozzi, M. and Broggi, A., “Vision-Based Vehicle Guidance,” IEEE Comput., Vol. 30, pp. 49 55 (1997). doi: 10.1109/2.596628
Broggi, A., Bertozzi, M., Fascioli, A., Conte, G., “Architectural Issues on Vision-Based Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle,” World Scientific, Singapore (1999). doi: 10.1006/rtim.1999.0191

延伸閱讀