In view of the current problem that the detection and identification of artificial reefs in marine ranches is mainly based on manual identification, which is inefficient and costly, the CSF and Ransac filtering algorithms were studied and analyzed in the identification of artificial reefs in multi-beam point cloud data. First, the principles and configurations of the two algorithms were introduced. The data point clouds of the two test areas were collected by the NORBIT iWBMS multi-beam echo sounder. Then, the reef extraction experiments were carried out in the two reef areas, and the recognition accuracy and completeness of the CSF and Ransac algorithms were compared. The results showed that both algorithms had good recognition effects on artificial reefs. The accuracy of the artificial reefs automatically identified and extracted by the CSF algorithm was 95.88%, and the completeness was 93.94%, while the accuracy of the Ransac algorithm was 93.48%, and the completeness was 90.53%. However, the three-dimensional morphology of the reefs extracted by the CSF algorithm was more complete, and the complete three-dimensional information of the single reef could be retained. The research methods and results provide a technical route for the identification and extraction of artificial reefs using multi-beam sonar point cloud data, and provide technical support for the scientific evaluation of artificial reefs in marine ranches.
