Results 51 to 60 of about 1,249 (158)

Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition

OCEANS 2025 Brest
6 pages, 5 figures.
Atharva Agashe, Davelle Carreiro, Alexandra Van Dine, Joshua Peeples   +3 more
openaire   +2 more sources

Estimating animal population density using passive acoustics [PDF]

, 2013
Reliable estimation of the size or density of wild animal populations is very important for effective wildlife management, conservation and ecology. Currently, the most widely used methods for obtaining such estimates involve either sighting animals from
Ward, Jessica, Jessica A. Ward, David J. Moretti, David K. Mellinger, Mellinger, David K., Martin, Stephen, Harris, Danielle, Tyack, Peter Lloyd, Stephen W. Martin, Ward, Jessica A., Marques, Tiago A., Moretti, David, Len Thomas, Tyack, Peter L., Harris, Danielle Veronica, Tiago A. Marques, Mellinger, David, Danielle Harris, Peter L. Tyack, Thomas, Len, Martin, Stephen W.   +20 more
core   +2 more sources

Learnable Two-Stage Frequency-Guided Front-End for Robust Underwater Acoustic Target Recognition

Journal of Marine Science and Engineering
Underwater acoustic target recognition is a key enabling technology for marine environmental monitoring, resource exploration, and maritime defense. However, ship-radiated noise is strongly affected by nonstationary propagation, multipath interference ...
Heng Zhang, Haiyan Wang, Shaodong Zhang, Yongsheng Yan   +3 more
doaj   +1 more source

Target discrimination in bubbly water [PDF]

, 2012
A man-made sonar that can operate in bubbly water is relevant: decades of active sonar experience built up for deep water applications are insufficient for shallow water operations required of a changed maritime security landscape.
Chua, Gim Hwa
core  

Design and Research of High-Energy-Efficiency Underwater Acoustic Target Recognition System [PDF]

Recently, with the rapid development of underwater resource exploration and underwater activities, underwater acoustic (UA) target recognition has become crucial in marine resource exploration. However, traditional underwater acoustic recognition systems
Ao Ma, Yinghao Lei, Pei Tan, Liqin Zhu, Bingyao Peng, Wenhao Yang, Ding Ding   +6 more
core   +1 more source

QiandaoEar22: a high-quality noise dataset for identifying specific ship from multiple underwater acoustic targets using ship-radiated noise

EURASIP Journal on Advances in Signal Processing
Target identification of ship-radiated noise is a crucial area in underwater target recognition. However, there is currently a lack of multi-target ship datasets that accurately represent real-world underwater acoustic conditions.
Xiaoyang Du, Feng Hong
doaj   +1 more source

An End-to-End Underwater Acoustic Target Recognition Model Based on One-Dimensional Convolution and Transformer

Journal of Marine Science and Engineering
Underwater acoustic target recognition (UATR) is crucial for defense and ocean environment monitoring. Although traditional methods and deep learning approaches based on time–frequency domain features have achieved high recognition rates in certain tasks,
Kang Yang, Biao Wang, Zide Fang, Banggui Cai   +3 more
doaj   +1 more source

Feature Selection of Scale Target Recognition by Underwater Acoustic Homing Weapons Based on Random Forest

水下无人系统学报
When underwater acoustic homing weapons identify underwater scale targets, it is necessary to extract different dimensional features from underwater target echoes and combine the features to form a complementary feature set to improve the recognition ...
Jianjing DENG, Lei SHI, Chenyu WANG, Liwen LIU, Xiangfeng YANG, Yunchuan YANG   +5 more
doaj   +1 more source

Class-Incremental Learning-Based Few-Shot Underwater-Acoustic Target Recognition [PDF]

This paper proposes an underwater-acoustic class-incremental few-shot learning (UACIL) method for streaming data processing in practical underwater-acoustic target recognition scenarios. The core objective is to expand classification capabilities for new
Tongsheng Shen, Ye Li, Wenbo Wang, Dexin Zhao   +3 more
core   +1 more source

Aversiveness of sound in marine mammals : psycho-physiological basis, behavioural correlates and potential applications [PDF]

, 2010
Understanding what psycho-physiological and behavioural factors influence aversiveness of sound in marine mammals is important for conservation and practical applications.
Götz, Thomas
core