Target detection in the same water area based on wavelet sub band model matching

doi:10.13382/j.jemi.2017.11.025

Home > Archive>Volume 31, Issue 11, 2017 >1860-1868. DOI:10.13382/j.jemi.2017.11.025

Target detection in the same water area based on wavelet sub band model matching
DOI:
                        10.13382/j.jemi.2017.11.025
                    
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Author:
                        Li PengLi Peng
1.Jiangsu Key Laboratory of Meteorological Observation and Information Procession, Nanjing University of Information Science and Technology, Nanjing 210044, China； 2.Jiangsu Meteorological Sensor Network Technology Engineering Center,Nanjing University of Information Science and Technology, Nanjing 210044, China
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Ye FangyueYe Fangyue
1.Jiangsu Key Laboratory of Meteorological Observation and Information Procession, Nanjing University of Information Science and Technology, Nanjing 210044, China； 2.Jiangsu Meteorological Sensor Network Technology Engineering Center,Nanjing University of Information Science and Technology, Nanjing 210044, China
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Li Jianqiao3Li Jianqiao
School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
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Chen ZhanpengChen Zhanpeng
1.Jiangsu Key Laboratory of Meteorological Observation and Information Procession, Nanjing University of Information Science and Technology, Nanjing 210044, China； 2.Jiangsu Meteorological Sensor Network Technology Engineering Center,Nanjing University of Information Science and Technology, Nanjing 210044, China
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Affiliation:1.Jiangsu Key Laboratory of Meteorological Observation and Information Procession, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2.Jiangsu Meteorological Sensor Network Technology Engineering Center,Nanjing University of Information Science and Technology, Nanjing 210044, China;3.School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Clc Number:TP751
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Abstract:

Aiming at the problems such as complex environment, low separation rate and difficult to identify the targets in the process of underwater sonar target search, a new method based on dual tree double density complex wavelet subband model is proposed to identify the underwater target automatically.Firstly, the dual tree double density complex wavelet is used to decompose the acoustic image to get different direction subbands.Then,usingthe three parametersgeneralizesΓ function of different directional subband coefficients to fit as feature items.Finally, usingthe difference in distribution characteristicsbetween acoustic target image and background sonarimage calculating the KL distance,the similarityis matchedandthe optimal threshold is setto distinguish the existingtarget automatically.The experiments prove that the proposed methodis applied to the identification of sonar images with multiple targets,the quality factor of detection is 97.2% and the detection quality factor is 10% higher than that of other methods at different noise levels,and has high detection rate and robustness.

Key words:sonar;underwater target detection;double tree double density complex wavelet;generalized Γ model;KL distance

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Online: January 08,2018
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