Vibration amplitude detection of aero stabilization platform adopting the optical imaging method

A platform vibration detection algorithm for aero stabilization platform is proposed to solve the problem that the special vibration detection device is expensive and is hard to integrate and to apply in hyperspectral imaging systems. The algorithm is based on the optical imaging method, and accesses image data by adopting and installing frame CCD sensor on the airship-borne platform with line push-broom hyperspectral camera tightly. The simplified SIFT (Scale Invariant Feature Transform, SIFT) features are extracted from the image sequence, and pyramidal implementation of the Lucas Kanade feature tracker is employed to track features. The vibration is then decomposed on the fly direction and the direction that is perpendicular to the fly direction by considering effect of the vibration to spectral imaging. Then the relative motion vector between neighbor frames is solved using the image motion model. The unmatched features between the neighbor frames caused by the platform vibration is used to derive the vibration amplitude calculation model, and then the amplitude is calculated from the motion vector. Experimental results show that the vibration amplitude detection based on the optical imaging method reaches micron precision and satisfies the application requirement, while its cost is only one over ten of the cost of Doppler vibration measurement.