|
|
|
|
|
Chenhong Yan, Shefeng Yan, Tianyi Yao, Yang Yu, Guang Pan, Lu Liu, Mou Wang and Jisheng Bai
Ship-radiated noise classification is critical in ocean acoustics. Recently, the feature extraction method combined with time?frequency spectrograms and convolutional neural networks (CNNs) has effectively described the differences between various underw...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuxing Li, Yilan Lou, Lili Liang and Shuai Zhang
In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important info...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nicholas Marasco, Haidy Elghamrawy and Donald McGaughey
The current state of the art in hydroacoustics research employs a variety of feature extraction techniques with the goal of accurately classifying a ship based on its radiated noise. These techniques are capable of accuracy in excess of 95%. A question a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuang Yang, Lingzhi Xue, Xi Hong and Xiangyang Zeng
Recently, deep learning has been widely used in ship-radiated noise classification. To improve classification efficiency, avoiding high computational costs is an important research direction in ship-radiated noise classification. We propose a lightweight...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anqi Jin and Xiangyang Zeng
Long-range underwater targets must be accurately and quickly identified for both defense and civil purposes. However, the performance of an underwater acoustic target recognition (UATR) system can be significantly affected by factors such as lack of data...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenyang Zhu, Tomaso Gaggero, Nicholas C. Makris and Purnima Ratilal
The time-dependent spectral characteristics of underwater sound radiated by an ocean vessel has complex dependencies on ship machinery, propeller dynamics, hydrodynamics of ship exhaust and motion, as well as ship board activities. Here the underwater so...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinwei Luo, Minghong Zhang, Ting Liu, Ming Huang and Xiaogang Xu
This paper focuses on the automatic target recognition (ATR) method based on ship-radiated noise and proposes an underwater acoustic target recognition (UATR) method based on ResNet. In the proposed method, a multi-window spectral analysis (MWSA) method ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fei Yuan, Xiaoquan Ke and En Cheng
Ship recognition based on ship-radiated noise is one of the most important and challenging subjects in underwater acoustic signal processing. The recognition methods for ship-radiated noise recognition include traditional methods and deep learning (DL) m...
ver más
|
|
|
|
|
|