Results 131 to 140 of about 1,249 (158)

CA_MobileNetV2 for Underwater Acoustic Target Recognition

2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2023
Gao Tian, Haiyang Yao, Wang Haiyan, Wu Fan, Chen Xiao   +4 more
openaire   +1 more source

An Underwater Acoustic Target Recognition Method Based on AMNet

IEEE Geoscience and Remote Sensing Letters, 2023
Biao Wang 0002, Wei Zhang 0317, Yunan Zhu 0004, Chengxi Wu, Shizhen Zhang   +4 more
openaire   +1 more source

Intelligent Recognition of Underwater Acoustic Target Noise by Multi-Feature Fusion

2018 11th International Symposium on Computational Intelligence and Design (ISCID), 2018
The traditional methods of underwater acoustic target recognition need to manually extract the feature data, and the recognition process has strong human-computer interaction characteristics, which couldn't meet the demand of intelligence of underwater acoustic target recognition in the future.
Shaokang Zhang, Shihong Xing
openaire   +1 more source

Underwater Acoustic Target Recognition with Fusion Feature

2021
Pengyuan Qi, Jianguo Sun, Yunfei Long, Liguo Zhang, Tianye   +4 more
openaire   +1 more source

Unseen class detection in underwater acoustic target recognition

The Journal of the Acoustical Society of America
This study provides deep learning-based detector which recognizes previously unseen vessel classes for passive sonar system. We focus on a scenario in which training and testing data are collected from the same measurement site, but the test samples include vessel class excluded during training.
openaire   +1 more source

Underwater acoustic target recognition using RCRNN and wavelet-auditory feature

Multimedia Tools and Applications, 2023
Pengyuan Qi, Guisheng Yin, Liguo Zhang 0002   +2 more
openaire   +1 more source

Domain-adaptive meta learning for underwater acoustic target recognition

The Journal of the Acoustical Society of America
This study provides a unique opportunity for advancements in underwater acoustic target recognition (UATR). The ShipsEar dataset, comprised of underwater acoustic recordings captured by hydrophones across eight distinct locations, encapsulates diverse environmental conditions and vessel sound characteristics.
Junho Bae, Wooyoung Hong, Youngmin Choo
openaire   +1 more source

Target classification and recognition using underwater acoustic signals

2020
ABSTRACT TARGET CLASSIFICATION AND RECOGNITION USING UNDERWATER ACOUSTIC SIGNALS YA?CI, Tayfun M. S., Department of Computer Engineering Supervisor: Assoc. Prof. Dr. Ahmet COŞAR July 2005, 116 pages Nowadays, fulfillment of the tactical operations in secrecy has great importance for especially subsurface and surface warfare platforms as a result of ...
openaire   +1 more source

Underwater acoustic target recognition based on spectrum component analysis of ship radiated noise

Applied Acoustics, 2023
Yulong Huang, Yonggang Zhang, Pengsen Zhu   +2 more
exaly  

Data augmentation method for underwater acoustic target recognition based on underwater acoustic channel modeling and transfer learning

Applied Acoustics, 2023
Liang Chen, Feng Liu
exaly