| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 02022 | |
| Number of page(s) | 5 | |
| Section | Automation and Nontraditional Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201817302022 | |
| Published online | 19 June 2018 | |
Inspection method of images' overlap of UAV photogrammetry based on features matching
1
Xiangtan University, College of Civil Engineering and Mechanics, 411105 Xiangtan, China
2
Xiangtan University, College of Mathematics and Computational Science, 411105 Xiangtan, China
Corresponding author : lijuniutvq@gmail.com
The overlapping degree of UAV aerial imagery is an important parameter in judging the quality of aerial photography. This paper applies the technology of image feature matching to realize the automatic inspection of low-altitude UAV aerial image overlap. It utilizes the feature point matching and homography transformation model, which can accurately identify the overlapping area of the image and overcome the defect caused by the large rotation angle of UAV's images and irregular overlap area. We use various feature-extracting algorithms to verify the practicability of this method. It shows that it can calculate the overlapping degree of adjacent aerial images efficiently and accurately, which improve the production efficiency of aerial photogrammetry.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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