Abstract
Studies using unmanned aerial vehicle (UAV) are being actively conducted to obtain and apply spatial information. Spatial information based on orthophoto can be analyzed only when positional accuracy of these photos is high. To solve this problem, survey techniques, such as virtual reference station–real time kinematic (VRS–RTK) are used to create a ground control point (GCP), and geo-referencing is performed on the images. However, orthophoto based on non-fiducial points are generated in scenarios where spatial information is urgently required or in physical environments where GCPs are unlikely to be surveyed. In this method, a location error occurs and reduces the accuracy of orthophoto. In this study, a method that estimates GCPs using only measurement information using the UAV without a GCP survey and generates orthophoto based on those points, is proposed and its applicability is verified. 254 aerial photos were obtained using UAV. The location of six GCPs was estimated based on measurement information using UAV. Subsequently, the aerial photos and GCPs estimated based on the UAV measurement information were used to generate an orthophoto. This orthophoto was compared with those based on VRS–RTK GCPs and non-fiducial points in an error analysis. The analytic result indicates that the orthophoto based on the proposed method has an error that is 74.53% lower compared to that based on non-fiducial points. It is anticipated that the method proposed in this study to generate orthophoto based on information surveyed using the UAV can be effectively applied under physical environments where GCPs are unlikely to be established.
Similar content being viewed by others
References
Lee, H. J. (2008). Producing true orthophoto using multi-dimensional spatial information. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 26(3), 241–253.
Park, J. H., & Lee, W. H. (2016). Orthophoto and DEM generation in small slope areas using low specification UAV. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 34(3), 283–290.
Kim, S. Y., Yu, J. H., Shin, J. H., & Lee, G. J. (2017). The case study: The efficiency of using UAV and 3D-model for mine reclamation work monitoring. Journal of the Mineralogical Society of Korea, 30(1), 1–9.
Yoo, H. H., Park, J. W., Shim, J. H., & Kim, S. S. Image map generation using low-altitude photogrammetric UAV. Journal of the Korean Society for Geospatial Information Science, 14(1), 34–47.
Kim, M. J., Bang, H. S., & Lee, J. W. Use of unmanned aerial vehicle for forecasting pine wood nematode in boundary area: A case study of Sejong Metropolitan Autonomous City. Journal of Korean Forest Society, 106(1), 100–109.
Lee, I. S., Lee, J. O., Kim, S. J., & Hong, S. H. (2013). Orhtophoto accuracy assessment of ultra-light fixed wing UAV photogrammetry techniques. Journal of the Korean Society of Civil Engineers, 33(6), 2593–2600.
Lim, S. B., Seo, C. W., & Yun, H. C. (2015). Digital map updates with UAV photogrammetric methods. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 33(5), 397–405.
Kim, M. J., Bang, H. S., & Lee, J. W. (2016). Evaluation of the positioning accuracy of spatial information on forest resources using UAV. Journal of The Korean Society of Forest Engineering, 14(1), 21–32.
Oh, J. H., Kim, H. W., Hwang, D. Y., & Hong, S. H. (2016). UAV photogrammetry accuracy analysis at marine using arbitrary reference points. Journal of the Korean Society for Geospatial Information Science, 24(4), 39–45.
Lee, K. R., & Lee, W. H. (2016). Orthophoto and DEM generation using low specification UAV images from different altitudes. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 34(5), 535–544.
Han, J. H., Kwon, J. H., Lee, I. P., & Choi, K. A. (2010). Determinate real-time position and attitude using GPS/INS/AT for real-time aerial monitoring system. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 28(5), 531–537.
Choi, K. A., & Lee, I. P. (2009). Image georeferencing using AT without GCPs for a UAV-based low-cost multisensor system. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 27(2), 249–260.
Chiang, K. W., Tsai, M. L., & Chu, C. H. (2012). The development of an UAV borne direct georeferenced photogrammetric platform for ground control point free applications. Sensors, 12(7), 9161–9180.
Han, S. H., & Jung, K. Y. (2015). Accuracy evaluation of UAV based on GCP usage. In Paper presented at the Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography. KSGPC, April.
Tak, K. H., Lee, D. J., & Bang, H. C. (2015). A Study on Bias Estimation of Vision-based Object Geo-location for an UAV. In Paper presented at the Proceedings of the Korean Society for Aeronautical and Space sciences. KSAS, April.
Barber, D. B., Redding, J. D., McLain, T. W., Beard, R. W., & Taylor, C. N. (2006). Vision-based target geo-location using a fixed-wing miniature air vehicle. Journal of Intelligent and Robotic Systems, 47(4), 361–382.
Kim, J. H., Lee, D. W., Cho, K. R., Jo, S. Y., Kim, J. H., & Han, D. I. (2008). Vision based estimation of 3-D position of target for target following guidance/control of UAV. Journal of Institute of Control, Robotics and Systems, 14(12), 1205–1211.
Sun, J., Li, B., Jiang, Y., & Wen, C. Y. (2016). A camera-based target detection and positioning UAV system for search and rescue (SAR) purposes. Sensors, 16(11), 1778.
Rosnell, T., & Honkavaara, E. (2012). Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera. Sensors, 12(1), 453–480.
Liu, J., Hu, Y., Xu, C., Jiang, C., & Han, X. (2016). Probability assessments of identified parameters for stochastic structures using point estimation method. Reliability Engineering & System Safety, 156, 51–58.
Seoul Metropolitan Government, Network RTK System. https://gnss.seoul.go.kr. Accessed Jan 15, 2018.
Bhandari, B., Oli, U., Pudasaini, U., & Panta, N. (2015). Generation of high resolution DSM using UAV images. In FIG Working Week, 17–21.
Acknowledgements
This research was supported by a Grant (16SCIP-C116873-01) from construction technology research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Woo, H., Baek, S., Hong, W. et al. Evaluating ortho-photo production potentials based on UAV real-time geo-referencing points. Spat. Inf. Res. 26, 639–646 (2018). https://doi.org/10.1007/s41324-018-0208-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41324-018-0208-9