Results 21 to 30 of about 4,375,078 (278)

Deep Learning Methods for Underwater Target Feature Extraction and Recognition [PDF]

Computational Intelligence and Neuroscience, 2018
The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency cepstral
Kejun Wang, Jianfei Shi, Mengran Qiu, Liangliang Liu, Gang Hu, Yuan Peng   +5 more
core   +4 more sources

Underwater target recognition method based on convolution residual network [PDF]

MATEC Web of Conferences, 2019
The underwater target radiated noises usually have characteristics of low signal to noise ratio, complex signal components and so on. Therefore the recognition is a difficult task and powerful recognition method must be applied to obtain good results. In
Chen Yuechao, Du Shuanping, Quan HengHeng, Zhou Bin   +3 more
doaj   +2 more sources

Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition [PDF]

The recognition of underwater audio plays a significant role in identifying a vessel while it is in motion. Underwater target recognition tasks have a wide range of applications in areas such as marine environmental protection, detection of ship radiated
Li, Zeyu, Yu, Tong, Ruan, Jiacheng, Fu, Yuzhuo, Xiang, Suncheng, Hu, Yanping, Gao, Jingsheng, Liu, Ting   +7 more
core   +3 more sources

Enhanced U-Net for Underwater Laser Range-Gated Image Restoration: Boosting Underwater Target Recognition

Journal of Marine Science and Engineering
Underwater optical imaging plays a crucial role in maritime safety, enabling reliable navigation, efficient search and rescue operations, precise target recognition, and robust military reconnaissance.
Peng Liu, Shuaibao Chen, Wei He, Jue Wang, Liangpei Chen, Yuguang Tan, Dong Luo, Wei Chen, Guohua Jiao   +8 more
doaj   +2 more sources

Underwater Acoustic Target Recognition Based on Sub-Regional Feature Enhancement and Multi-Activated Channel Aggregation

Journal of Marine Science and Engineering
Feature selection and fusion in ship radiated noise-based underwater target recognition have remained challenging tasks. This paper proposes a novel feature extraction method based on multi-dimensional feature selection and fusion. Redundant features are
Zhongxiang Zheng, Peng Liu
doaj   +2 more sources

The Underwater Acoustic Target Recognition Algorithm Based on Evidence Clustering [PDF]

, 2018
In underwater acoustic target recognition, the target signal is usually complex and the samples which are difficult to obtain also have some uncertain information.
Jianhua Yang, Yang Zhang, Hong Hou
core   +3 more sources

Underwater target recognition methods based on the framework of deep learning: A survey

International Journal of Advanced Robotic Systems, 2020
The accuracy of underwater target recognition by autonomous underwater vehicle (AUV) is a powerful guarantee for underwater detection, rescue, and security.
Bowen Teng, Hongjian Zhao
doaj   +1 more source

Few-shot learning for joint model in underwater acoustic target recognition

Scientific Reports, 2023
In underwater acoustic target recognition, there is a lack of massive high-quality labeled samples to train robust deep neural networks, and it is difficult to collect and annotate a large amount of base class data in advance unlike the image recognition
Shengzhao Tian, Di Bai, Junlin Zhou, Yan Fu, Duanbing Chen   +4 more
doaj   +1 more source

Deep convolution stack for waveform in underwater acoustic target recognition [PDF]

Scientific Reports, 2021
AbstractIn underwater acoustic target recognition, deep learning methods have been proved to be effective on recognizing original signal waveform. Previous methods often utilize large convolutional kernels to extract features at the beginning of neural networks. It leads to a lack of depth and structural imbalance of networks.
Shengzhao Tian, Duanbing Chen, Hang Wang, Jingfa Liu   +3 more
openaire   +3 more sources

Underwater Accompanying Robot Based on SSDLite Gesture Recognition

Applied Sciences, 2022
Underwater robots are often used in marine exploration and development to assist divers in underwater tasks. However, the underwater robots on the market have some problems, such as only a single function of object detection or tracking, the use of ...
Tingzhuang Liu, Yi Zhu, Kefei Wu, Fei Yuan   +3 more
doaj   +1 more source