Trace density is a key parameter affecting the migration imaging quality of seismic data and acquisition cost. An reasonable trace density is of great significance to improve the technical effectiveness of seismic acquisition survey. At present, the trace density design methods mainly are mainly the theoretical analysis methods based on imaging theory and the degradation processing comparative methods based on actual data. These are two problems with these methods: A. When the design demonstration trace density is greater than the actual data trace density, high confidence predictions cannot be made for the seismic imaging data resolution obtained by the proposed coverage density; B. Neither the resolution ability improved in the high-resolution processing in the next link of seismic acquisition is considered, nor the feedback on the seismic link from the development of high-resolution processing is reflected. In this paper, an imaging resolution based quantitative optimization design method for trace density is proposed according to the geological tasks and the demands for the high-resolution processing technology of seismic data, relying on the previous acquired data in the exploration area and the acquisition effect of the trace density parameters that is closer to the actual situation is predicted by building the quantitative relationship between trace density and imaging resolution with the S/N ratio.