Results 231 to 240 of about 4,375,078 (278)

A Deep-Shallow Network for Passive Underwater Target Recognition

2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2020
Passive sonar system is an essential method for underwater target recognition. However, it is also a challenging task due to the interference of ambient noise and multiple operative conditions of different targets. In this paper, a weighted voting mechanism based Deep-shallow Network (DSN) is proposed.
Gaoyu Song, Xingang Liu, Xin Zeng, Hengguang Luo, Dayu Wang, Boxuan Zhang   +5 more
openaire   +2 more sources

Deep learning-based recognition of underwater target

2016 IEEE International Conference on Digital Signal Processing (DSP), 2016
Underwater target recognition remains a challenging task due to the complex and changeable environment. There have been a huge number of methods to deal with this problem. However, most of them fail to hierarchically extract deep features. In this paper, a novel deep learning framework for underwater target classification is proposed. First, instead of
Xu Cao, Xiaomin Zhang, Yang Yu 0040, Letian Niu   +3 more
openaire   +2 more sources

Interpretable features for underwater acoustic target recognition

Measurement, 2021
Abstract The major challenge of underwater acoustic target recognition is that the features clearly characterizing the underwater acoustic targets remain indistinct, where the sound signals are often submerged by intense noise. In this paper, we aim to discover an efficient interpretable feature set that can reveal the inherent mechanism, and result ...
Junjun Jiang, Zhenning Wu, Junan Lu, Min Huang, Zhongzhe Xiao   +4 more
openaire   +1 more source

Research on target recognition of underwater robot

2018 IEEE International Conference on Advanced Manufacturing (ICAM), 2018
In recent years, target recognition and detection technology, which is a very important research direction in the field of computer vision, is widely used in human life. The technology has been relatively mature for the recognition of targets such as people and objects on land. However, due to some conditions, it is relatively rare in the marine field.
Ping Liu, YANG Hongbo, YuZhen Hu, JingNan Fu   +3 more
openaire   +1 more source

A New Approach to Underwater Target Recognition

2009 2nd International Congress on Image and Signal Processing, 2009
Due to negative effects of underwater imaging environment and the real-time need of underwater task, a new underwater target recognition system is proposed. New combined invariant moments of underwater images are extracted as the system's recognition features,and the system's underwater target classifier is based on neural network which improved by ...
He Zhang, Lei Wan, Yushan Sun
openaire   +1 more source

An effective method for underwater target recognition

2005 International Conference on Machine Learning and Cybernetics, 2005
To recognize the underwater target precisely is always a hard problem to all countries. In this paper, we designed a genetic-based classifier system which recognizes targets utilize sonar fingerprints. Exceptionally some improvements have been designed on it.
null Jian Yuan, null Wei Liu, null Geng Chen, null Guo-Hui Li   +3 more
openaire   +1 more source

Object auto-recognition for underwater targets

2009 Chinese Control and Decision Conference, 2009
The affine invariants is constructed based on region moments in order to eliminate the negative effects, which are brought by the underwater images under the influence of the lighting condition and some character of water media. Aiming at the draw backs of traditional BP neural network, such as converging slowly and tending to get into the local ...
null Tang Xu-Dong, null Pang Yong-Jie, null Li Ye, null Zhang He   +3 more
openaire   +1 more source

Effect of turbulence on underwater targets recognition

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396), 2002
This paper provides an analysis of the echo structures returning from underwater targets, then it describes the effect of turbulence on underwater target recognition. The sonar signal recognition system deals with the echoes received from complex geometrical shapes of underwater targets.
O.A.A. Alim, H.A. Khater
openaire   +1 more source

Underwater acoustic target recognition on ShipsEar dataset

2023
The task of classifying underwater audio source has various marine-oriented applications, including maritime and environmental monitoring, detection of marine life, and underwater surveillance. However, Underwater Acoustic Target Recognition (UATR) remains challenging due to several factors.
Tam Phi, David Han
openaire   +1 more source

Robust recognition of targets for underwater docking of autonomous underwater vehicle

2016 IEEE/OES Autonomous Underwater Vehicles (AUV), 2016
Underwater docking for an autonomous underwater vehicle is important in sense that the vehicle can stop at a docking station to recharge its battery, transfer data, and can be used for launch and recovery system. To perform docking, recognizing the station through vision is important.
M. F. Yahya, M. R. Arshad
openaire   +1 more source