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Underwater Target Recognition with Sonar Fingerprint
2006To recognize an underwater target precisely is always a more difficult task for the navy compared to the air force due to the complicated watery environment which is very different from the aerial circumstance. Part of the reason is that there is much more interference under the sea.
Jian Yuan, Guo-Hui Li
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Classification and Recognition of Underwater Target Based on MFCC Feature Extraction
2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2020The key to underwater target recognition is to extract the effective features of underwater target radiation noise. This paper presents an effective method for underwater target recognition and classification by extracting Mel-Frequency Cepstral Coefficients (MFCCs) features of underwater target radiation noise.
Yuze Tong, Xin Zhang 0152, Yizhou Ge
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Research on decision fusion in underwater target recognition
The 2nd International Conference on Information Science and Engineering, 2010Aimed at enhancing the adaptive information fusion capability of underwater target recognition in complex environment, we employed the decision fusion technology based on the Dempster-Shafer Theory. The information fusion model presented in this paper utilized neural networks and fuzzy theory, which is the basic theory for this model, to analyze the ...
null Jun Yong, null Ruo-Qian Zhu
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Deep learning architectures for underwater target recognition
2013 Ocean Electronics (SYMPOL), 2013Passive sonar target recognition is a challenging task due to the complex milieu of the ocean. Most of the state of the art target recognition systems depend on hand engineered feature extraction schemes in order to effectively represent the target signatures, based on expert knowledge.
Suraj Kamal +3 more
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Underwater target recognition based on WPT and SVM
2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, 2010Underwater target recognition, which possesses a crucial theoretic and application value, is a very important topic in the world. The basic principles of wavelet packets transform (WPT) and support vector machine (SVM) are briefly introduced at first. Then the signals of ship radiated are pre-processed and filtered by WPT and the wavelet packets energy
Jian Liu, Zhong Liu, Ying Xiong
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Fuzzy logic for underwater target noise recognition
[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 2002Underwater target noise recognition in modern sonar design is considered. The target noise is divided into five types, and their characteristics in the frequency domain are described. A fuzzy logic algorithm for passive classification is presented. An expert system based on this inference logic for target noise recognition is introduced. Some test data
J. Wang, Q. Li, W. Wei
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Intelligent Recognition of Underwater Acoustic Target Noise on Underwater Glider Platform
2018 Chinese Automation Congress (CAC), 2018The underwater acoustic target detection system based on the underwater glider platform requires the platform itself to have the ability of target automatic tracking, identification and evaluation, but the traditional methods of underwater target noise identification have strong human-computer interaction characteristics.
Zhang Shao-Kang +3 more
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Underwater Acoustic Target Recognition Using Software Defined Radio
2023 46th International Conference on Telecommunications and Signal Processing (TSP), 2023One of the important results of ship movement is acoustics noise which contains a lot of ship attributes. With developing technology, the classification of targets problem remains important. Recognition of ships is possible using ships' acoustic trace data.
İlhan, Hacı, Pehlivan, Adil Ugur
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Underwater object reconstruction method for target recognition in an Autonomous Underwater Vehicle
OCEANS'10 IEEE SYDNEY, 2010We consider the problem of reconstructing 3D models of underwater objects from multiview images and propose a low complexity algorithm to achieve this without loss in accuracy as compared to existing work. We utilize bicubic interpolation as a substitute for Gaussian decomposition to arrive at multiresolution images.
Pavan Kumar Ambekar +2 more
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Sonar automatic target recognition for underwater UXO remediation
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015Automatic target recognition (ATR) for unexploded ordnance (UXO) detection and classification using sonar data of opportunity from open oceans survey sites is an open research area. The goal here is to develop ATR spanning real-aperture and synthetic aperture sonar imagery.
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