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Generating a High-Precision True Digital Orthophoto Map Based on UAV Images
- Source :
- ISPRS International Journal of Geo-Information, Vol 7, Iss 9, p 333 (2018), ISPRS International Journal of Geo-Information, Volume 7, Issue 9
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
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.
- 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
Subjects
Details
- ISSN :
- 22209964
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- ISPRS International Journal of Geo-Information
- Accession number :
- edsair.doi.dedup.....581cef506f37ee45b5b901775530fad0