There are small geometric positioning errors between panchromatic data and multispectral data when optical satellites， which have high attitude measurement accuracy， high attitude stability， and detectors using mechanical staggered stitching， are affected by slight high-frequency attitude errors. In this paper， a high-resolution optical satellite panchromatic and multispectral image geometric positioning consistency correction method based on the high-frequency corrected attitude is proposed to address this problem， and the proposed method is validated by in-orbit satellite data. First， a rigorous geometric model is realized according to the principle of the push-broom satellite. Second， the time-sharing imaging characteristics between mechanical staggered stitching detectors are used to obtain the homonymous image point data by combining geometric positioning constraints and the matching method of the pyramid image search strategy， and the homonymous image point data are used to obtain the high-frequency attitude data in the satellite imaging process. Finally， the obtained high-frequency attitude data are used in the sensor geometry correction processing of multispectral images to obtain multispectral image data corrected by the high-frequency corrected attitude. The results indicate that the proposed method effectively eliminates the small geometric positioning error between panchromatic and multispectral data caused by the slight high-frequency attitude error， so that the geometrically corrected multispectral and panchromatic data have high-precision geometric positioning consistency. The proposed method can improve the relative geometric positioning error in the row direction between the panchromatic and the multispectral data to better than 0.15 pixel of the multispectral image， which lays a solid foundation to produce high-precision image fusion products for high-resolution optical satellites with high attitude measurement accuracy， high attitude stability， and mechanical staggered stitching detectors.