| Issue |
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
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| Article Number | 10006 | |
| Number of page(s) | 11 | |
| Section | Pattern Recognition | |
| DOI | https://doi.org/10.1051/matecconf/202541710006 | |
| Published online | 25 November 2025 | |
Towards a fast image alignment technique for multi-aperture UAV and CubeSat payloads
Optronic Sensor Systems, Council for Scientific and Industrial Research (CSIR), South Africa
* Corresponding author: mnana@csir.co.za
This paper compares various image alignment techniques implemented on low-powered embedded devices for use in multi-aperture UAV and CubeSat payloads. A novel method was introduced and executed alongside two established methods on an embedded processor: utilising images taken from a dual-aperture UAV payload for the performance evaluation. The techniques were evaluated based on processing time, wherein significant differences were observed, outside of the universally comparable structural similarity index (SSIM). The outcomes of this research indicate that among the methods compared, the proposed method requires the least amount of processing time without sacrificing alignment quality, making it suitable for use in, applicable, low-power applications.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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