Avtomatiziran postopek kalibracij kamer satelita TRISAT-S: Automated Calibration Process for TRISAT-S Satellite Cameras

In this paper, we present the methodology for the automated calibration of cameras mounted on the Trisat-S satellite. The system builds upon previous experience from the TRISAT-R mission, where miniature cameras were used for a technological demonstration. To ensure accurate reconstruction of image data, a fully automated calibration method was developed, incorporating a robotic arm for precise camera positioning and optimization algorithms for optical distortion correction. The calibration process employs the Förstner operator for calibration pattern detection, the Levenberg-Marquardt method for minimizing reprojection error, and the geometric pinhole camera model. In addition to calibration, we introduce the concept of 360-degree environmental reconstruction, which is based on merging images from all six cameras mounted on the satellite. Key aspects of this process include geometric alignment of images, distortion correction, and data fusion into a unified panoramic representation. The results demonstrate that the proposed system is robust and repeatable, enabling high accuracy and fully automated data processing without human intervention. Future research will focus on implementing the method on the actual satellite and analyzing the effectiveness of the reconstruction in real space conditions.