Ship target recognition with the Mellin transform aided by neural networks

This paper summarises further research into the application of the Mellin transform for radar ship target recognition. As reported in previous papers, preprocessing is via the Mellin transform, with recognition utilising neural networks. However, in this paper, substantial emphasis is placed on discussing the pre-processing techniques applied in the implementation of the Fourier modified direct Mellin transform (FMDMT). The FDMDMT extracts features from the range profiles of targets, regardless of aspect angle. In particular, the robustness of the technique in the presence of noise and amplitude scintillation is investigated, together with the range of angles over which the FMDMT is successful. Real and simulated data is utilised.