1. Generating a High-Precision True Digital Orthophoto Map Based on UAV Images
- Author
-
Xinqi Zheng, Gang Ai, Yu Liu, Yuqiang Zuo, and Yi Zhang
- Subjects
010504 meteorology & atmospheric sciences ,Computer science ,Geography, Planning and Development ,0211 other engineering and technologies ,lcsh:G1-922 ,02 engineering and technology ,01 natural sciences ,Compensation (engineering) ,Image texture ,unmanned aerial vehicle ,Earth and Planetary Sciences (miscellaneous) ,Structure from motion ,Computer vision ,Computers in Earth Sciences ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,structure from motion ,business.industry ,Ground sample distance ,Orthophoto ,true digital orthophoto map ,Workflow ,digital surface model ,Artificial intelligence ,Digital surface ,business ,Tilt (camera) ,lcsh:Geography (General) ,multi view stereo - Abstract
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.
- Published
- 2018