Ship Detection and Recognition Based on Multi-physical Fields

摘要

The detection and identification of the kinds of ships, i.e., warship or merchant ship, is of great interest for military use. Ships are usually detected and recognized based on ship physical fields, and the commonly used ship physical fields include sound field, magnetic field, hydraulic pressure field, electric field, gravity field, etc, which all contain plenty of discriminative information. However, the existing ship identification methods are usually based on single ship physical field, which will limit the model performance. In this work, we proposed a ship recognition method based on combination of multi-physical fields, i.e., sound field and magnetic field. To the best of the authors' knowledge, this is the first work to recognize ships based on multi-physical fields. We fuse features extracted from multi-physical fields by Principal Component Analysis (PCA), which is then fed to Support Vector Machine (SVM) to realize the recognition of ship. Plenty of experiments demonstrate the effectiveness of the proposed method.