A robust discriminant parameter set for the underwater object classification
Emanuel Rădoi, André Quinquis · 1997
The time-frequency analysis of the magnetic signals, generated by ferromagnetic objects, is used in order to find a robust discriminant parameter set for their classification. An original combination of energetic, spectral and time-scale based parameters is proposed. An excellent recognition rate and a good and regular behavior in the presence of noise are obtained. It is also proven that only a complex analysis of the acquired signals using their representations in different domains is able to lead to good results.