基于红外定标星的星库构建方法研究OA

The on-orbit geometric calibration of space-borne infrared cameras relies on high-preci-sion infrared calibration star catalogue to provide inertial benchmarks.While traditional visible-light star catalogs are difficult to match the spectral characteristics of infrared detection bands,resulting in insufficient calibration accuracy.Aiming at the on-orbit calibration requirements of infrared cameras in geosynchronous orbit,a complete technical system of"demand derivation-star catalog construction"is constructed in this paper.Firstly,combined with the core parameters of the infrared camera such as spectral band,field of view,and noise equivalent radiance,the quan-titative indicators of the infrared calibration star catalog such as spectral matching,star density,and position accuracy are systematically derived.Secondly,a star catalogue construction method based on multi-source space astronomical data fusion and stellar atmospheric model extrapolation is proposed to solve the key problem of missing data in the short-wave infrared band.Finally,the resulting infrared star catalogue achieves all-sky coverage with a stellar density no less than 10 stars per square degree and positional accuracy better than 0.1″,satisfying the high-precision re-quirements for on-orbit geometric correction of infrared cameras.This method achieves deep inte-gration of astronomical observation data with space engineering applications,providing theoreti-cal support and a technical paradigm for high-precision calibration of spaceborne infrared payloads.