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In land and marine seismic survey, we generally set receivers with equal interval suppose that sampling intervalis too narow. But the cost of seismic data acquisition and that of data processing are much higher, therefore we shoulddesign proper receiver interval. Spatial aliasing can be occurred on seismic data when sampling interval is too coarse.quality of multichannel seismic data processing. In this study, we aplied the Spitz algorithm which is widely used inseismic data processing. This algorithm works well regardless of dip information of the complex underground structure.Using prediction filter and original traces with linear event we interpolated in f-x domain. We confirm our algorithm byexamining for some synthetic data and marine data. After interpolation, we could find that receiver intervals get morenarow and the number of receiver is increased. We also could see that continuity of traces is more linear than before.Applying this interpolation algorithm on seismic data with spatial aliasing, we may obtain a better migration imaging.