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Article

Generating a High-Precision True Digital Orthophoto Map Based on UAV Images

by 1, 1,*, 1,*, 1 and 2
1
School of Information Engineering, China University of Geoscience Beijing, Beijing 100083, China
2
China Land Surveying and Planning Institute, Beijing 100035, China
*
Authors to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(9), 333; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7090333
Received: 26 June 2018 / Revised: 24 July 2018 / Accepted: 20 August 2018 / Published: 21 August 2018
(This article belongs to the Special Issue Applications and Potential of UAV Photogrammetric Survey)
Unmanned aerial vehicle (UAV) low-altitude remote sensing technology has recently been adopted in China. However, mapping accuracy and production processes of true digital orthophoto maps (TDOMs) generated by UAV images require further improvement. In this study, ground control points were distributed and images were collected using a multi-rotor UAV and professional camera, at a flight height of 160 m above the ground and a designed ground sample distance (GSD) of 0.016 m. A structure from motion (SfM), revised digital surface model (DSM) and multi-view image texture compensation workflow were outlined to generate a high-precision TDOM. We then used randomly distributed checkpoints on the TDOM to verify its precision. The horizontal accuracy of the generated TDOM was 0.0365 m, the vertical accuracy was 0.0323 m, and the GSD was 0.0166 m. Tilt and shadowed areas of the TDOM were eliminated so that buildings maintained vertical viewing angles. This workflow produced a TDOM accuracy within 0.05 m, and provided an effective method for identifying rural homesteads, as well as land planning and design. View Full-Text
Keywords: unmanned aerial vehicle; structure from motion; multi view stereo; digital surface model; true digital orthophoto map unmanned aerial vehicle; structure from motion; multi view stereo; digital surface model; true digital orthophoto map
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MDPI and ACS Style

Liu, Y.; Zheng, X.; Ai, G.; Zhang, Y.; Zuo, Y. Generating a High-Precision True Digital Orthophoto Map Based on UAV Images. ISPRS Int. J. Geo-Inf. 2018, 7, 333. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7090333

AMA Style

Liu Y, Zheng X, Ai G, Zhang Y, Zuo Y. Generating a High-Precision True Digital Orthophoto Map Based on UAV Images. ISPRS International Journal of Geo-Information. 2018; 7(9):333. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7090333

Chicago/Turabian Style

Liu, Yu, Xinqi Zheng, Gang Ai, Yi Zhang, and Yuqiang Zuo. 2018. "Generating a High-Precision True Digital Orthophoto Map Based on UAV Images" ISPRS International Journal of Geo-Information 7, no. 9: 333. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7090333

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