The invention discloses a fast image splicing method of matching strategy fusion and low errors. The method includes: S1, acquiring a plurality of to-be-spliced sequence images, and carrying out preprocessing and calibration of overlapped areas between the images thereon; S2, extracting SIFT feature points In the overlapped area, and calculating SURF feature descriptors; S3, completing feature rough-matching, utilizing rough-matching information to complete sequence image sorting, then adopting a random sample consensus algorithm to refine matching results, and fitting homography transformation matrices between the images; S4, selecting an image of a middle position of the sequence images to use the same as a reference image, and establishing a projection transformation model of any otherimage to the reference image; and S5, using the projection transformation model and combining multiple threads to project all the images to reference-image coordinate space after brightness correction, and synthesizing a high-quality panoramic-image after image fusion. The method greatly increases a correct-matching rate, can fast synthesize the high-quality panoramic-image of low errors, and hashigher practical values.