Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1079-1084, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-1079-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Jun 2016
The Evaluation of GPS techniques for UAV-based Photogrammetry in Urban Area
M. L. Yeh, Y. T. Chou, and L. S. Yang GIS Research Center, Feng Chia University, Taiwan
Keywords: UAV, DSM, Orthophoto, GCP Abstract. The efficiency and high mobility of Unmanned Aerial Vehicle (UAV) made them essential to aerial photography assisted survey and mapping. Especially for urban land use and land cover, that they often changes, and need UAVs to obtain new terrain data and the new changes of land use. This study aims to collect image data and three dimensional ground control points in Taichung city area with Unmanned Aerial Vehicle (UAV), general camera and Real-Time Kinematic with positioning accuracy down to centimetre. The study area is an ecological park that has a low topography which support the city as a detention basin. A digital surface model was also built with Agisoft PhotoScan, and there will also be a high resolution orthophotos. There will be two conditions for this study, with or without ground control points and both were discussed and compared for the accuracy level of each of the digital surface models. According to check point deviation estimate, the model without ground control points has an average two-dimension error up to 40 centimeter, altitude error within one meter. The GCP-free RTK-airborne approach produces centimeter-level accuracy with excellent to low risk to the UAS operators. As in the case of the model with ground control points, the accuracy of x, y, z coordinates has gone up 54.62%, 49.07%, and 87.74%, and the accuracy of altitude has improved the most.
Conference paper (PDF, 1105 KB)


Citation: Yeh, M. L., Chou, Y. T., and Yang, L. S.: The Evaluation of GPS techniques for UAV-based Photogrammetry in Urban Area, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1079-1084, https://doi.org/10.5194/isprs-archives-XLI-B1-1079-2016, 2016.

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