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Aiming at the problem of inconsistent grayscale in single-band image after stitching of multispectral images of filter array, a new method of the mean tuning algorithm for mean ratio of grayscale in overlapping regions of each band was proposed. Firstly, multispectral image template was constructed based on the effective region of each band, the projection transformation of multispectral image and image template was carried out using the platform posture information, speeded up robust features(SURF) algorithm was used to extract image matching points and calculate homography matrix between adjacent images, intermediate sequence image was selected as reference image to register projected image and image template. Secondly, the mean gray mean ratio of each single-band image overlapping region after projection was calculated as the gray adjustment coefficient of image, and reference image was used as a reference to adjust the grayscale of the aligned image. Finally, each single-band sequence image was obtained by using the grayscale adjusted multi-spectral image and the aligned image template, the large area single-band image with consistent grayscale was obtained by image stitching. Experimental results show that this method can effectively solve the problem of image grayscale inconsistency, and then maintain the spectral information characteristics of the features in different wavelength bands to the maximum extent. [ABSTRACT FROM AUTHOR]