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Geometric distortions contained in images of the meteorological satellite NOAA have been corrected using the calculated orbit values alone. Since the calculated orbit values usually contain errors, their precise corrections have been carried out using many ground control points (GCPs). If a position in the NOAA‐image coordinate corresponding to a GCP is covered by clouds, however, the correction is carried out manually by choosing another position which is not covered by clouds, since the displacement of the position is not certain. If there are many positions to correct manually, however, the time of manual operations increases, in addition to the occurrence of different values in the displacement of the position. This paper proposes an automatic correcting method of the geometric distortion. The method employs the sequential similarity detection algorithm for template matching using coastal‐line data including GCPs. For this operation, the pyramid structure is efficiently employed to increase the processing speed. A success or failure of template matching is determined automatically by using a correlation coefficient. From this result, the affine transformation coefficient is calculated so that the geometric distortion is corrected automatically. Transformations between the map coordinates, the ground‐surface coordinates, and the NOAA‐image coordinates are carried out by using the four‐point interpolation method so that their processing time is shortened. The effectiveness of this method is demonstrated.