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Since the anomalies of the maritime military targets are mostly positional anomalies, in order to achieve anomaly detection of the position of the maritime military targets, it is necessary to extract the position information of the normal vessel track at sea. Aiming at the problem that the traditional channel mining method, based on a small sample of a single target, can’t realize the massive vessel track data mining, this paper proposes an algorithm based on grid compression to mine the vessel track position information. Firstly, the algorithm improves the computational efficiency by using the grid compression method. Then, the trajectory direction property is reconstructed by the nine-grid vectorization method. Finally, the the main vessel track position information was extracted by using the variable threshold. The results show that the grid compression method effectively compresses the original data and improves the computational efficiency. Meanwhile, the position information of the vessel track can be effectively extract under appropriate thresholds.