Multi-frequency jitter detection and analysis based on parallax imaging for remote sensing satellite

As the resolution of satellite payloads continues to enhance, the vibrations of the platform increasingly undermine the geometric accuracy of high-resolution satellite imagery. This degradation significantly impacts the precision of CCD geometric splicing, the accuracy of positioning, and the overall clarity of the images. The existing research only focuses on the detection and modeling of single-frequency platform jitters, and there is insufficient research on cases involving multiple frequencies. Therefore, we propose a multi-frequency jitter detection method for remote sensing satellites based on parallax imaging and elaborate on the process of multi-frequency jitter detection in detail. Firstly, high-precision registration errors are identified through dense matching techniques. Subsequently, they are analyzed with Fourier transforms and corrected using sine functions. Finally, multi-frequency modeling is performed using the sine function model. The consistency of the modeling results between different CCD is presented, proving the effectiveness of the method.