There is a manifest shortage of audio databases available to underwater acoustics
researchers. With the aim of palliating this situation, ShipsEar, a database of underwater …

The detection of tracks in spectrograms is an important step in remote sensing applications
such as the analysis of marine mammal calls and remote sensing data in underwater …

Slope entropy (Slopen) has been demonstrated to be an excellent approach to extracting
ship-radiated noise signals (S-NSs) features by analyzing the complexity of the signals; …

Ship-radiated underwater noises are essential in marine target identification. However, it is
very difficult to extract valuable target information from ocean ambient noises. Here, a …

The feature extraction of marine vessel-radiated noise (MVRN) under the complex ocean
background is explored. To this end, a hybrid approach is presented based on the analysis …

Abstract Dispersion Lempel-Ziv complexity (DLZC) has been introduced into the field of
underwater acoustic with great performance, but it only reflects complexity information from …

Marine vessel classification is complicated by the variability in the radiated signal of the
marine vessel because of changing machinery configuration for the same class of vessels …

Due to the existence of marine environmental noise, coupled with the instability of
underwater acoustic channel, ship-radiated noise (SRN) signals detected by sensors tend to …

Entropy quantification approaches have gained considerable attention in engineering
applications. However, certain limitations persist, including the strong dependence on …

Due to the complexity and variability of underwater acoustic channels, ship-radiated noise
(SRN) detected using the passive sonar is prone to be distorted. The entropy-based feature …