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| Fast Model-based Automatic Target Recognition Method for Synthetic Aperture Sonar Image |
| Zhu Zhao-tong① Peng Shi-bao② Xu Jia③ Xu Xiao-mei① |
①(Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University),Ministry of Education, Xiamen 361005, China)
②(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)
③(School of Information and Electronic, Beijing Institute of Technology, Beijing 100081, China) |
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Abstract A modified model-based method is proposed to obtain sufficient prior templates and reduce the computational complexity on Synthetic Aperture Sonar (SAS) automatic target recognition. First, a quick method based on build convex hull is proposed to estimate the target pose quickly as well as the SAS imaging geometry for the specified target. Second, an improved method based on Hidden Point Removal (HPR) algorithm is proposed to obtain the target SAS simulation image effectively. Accordingly, the target recognition is realized by the correlation between the test image and the simulated image. Finally, the effectiveness of the proposed method is verified by the simulation experiment. It is shown that the proposed method can achieve higher computational efficiency than the conventional direct templet-based method, but remain the same high recognition rate.
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Received: 23 September 2014
Published: 02 June 2015
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Corresponding Authors:
Xu Xiao-mei
E-mail: xmxu@xmu.edu.cn
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