Aiming at the problems of ghosting and distortion in the process of UAV low-altitude aerial image Mosaic, an improved algorithm for UAV low-altitude aerial image Mosaic was proposed. The algorithm firstly through the SIFT features of UAV image image mosaicing, and then based on the SIFT algorithm in unmanned aerial vehicle (UAV) image matching problems that exist in the process, to improve the image matching in the process of feature extraction methods, effectively reduced the number of feature points extraction, and uses the direct average fusion method for low pass filter, get spliced images. The simulation results show that the algorithm can effectively solve the problems of ghost and distortion in the process of UAV image Mosaic, and the algorithm runs fast, which has certain military application value.
An improved image mosaic algorithm for UAV
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022) ; 2022 ; Guangzhou, China
Proc. SPIE ; 12604
23.05.2023
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Improved ORB Algorithm used in Image Mosaic
British Library Conference Proceedings | 2019
|A Robust Image Mosaic Algorithm
IEEE | 2008
|UAV Remote Sensing Image Mosaic Technology Combined with Improved SPHP Algorithm
British Library Conference Proceedings | 2020
|UAV Real Time Image Mosaic Method Based on SURF Algorithm
Springer Verlag | 2025
|Mars Image Collection Mosaic Builder
NTRS | 2008
|