Fourier laminated imaging position mismatch calibration method under point-by-point convergence strategy

The invention provides a Fourier lamination imaging position mismatch calibration method under a point-by-point convergence strategy. The Fourier lamination imaging position mismatch calibration method specifically comprises the steps of S1, performing high-resolution image reconstruction according to an acquired low-resolution image; s2, a point-by-point convergence strategy is adopted to search for mismatch errors and calibrate the mismatch errors; and S3, repeating the step S2 until all the low-resolution images are calibrated, and outputting a high-resolution reconstruction spectrum. According to the method, the translation error of each scanning position of the camera is directly calibrated in the frequency domain, the picture mismatch is calibrated by adopting a point-by-point convergence strategy, the real position of the spectrum sub-aperture is optimized by applying the particle swarm algorithm, and a dynamic inertia weight factor is introduced, so that the situation of local optimum can be avoided i