一種基于模型的合成孔徑聲吶圖像目標快速識別方法

朱兆彤; 彭石寶; 許稼; 許肖梅

doi:10.11999/JEIT141228

一種基于模型的合成孔徑聲吶圖像目標快速識別方法

doi: 10.11999/JEIT141228

1.
(廈門大學(xué)水聲通信與海洋信息技術(shù)教育部重點實驗室廈門 361005) ②(清華大學(xué)電子工程系北京 100084) ③(北京理工大學(xué)信息與電子學(xué)院北京 100081)

基金項目:

國家自然科學(xué)基金(61271391, 41176032, 41376040)

計量
- 文章訪問數(shù): 1350
- HTML全文瀏覽量: 127
- PDF下載量: 637
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2014-09-23
- 修回日期: 2015-03-09
- 刊出日期: 2015-07-19

Fast Model-based Automatic Target Recognition Method for Synthetic Aperture Sonar Image

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)

摘要

摘要: 針對基于合成孔徑聲吶(SAS)圖像目標識別的先驗?zāi)０瀚@取困難、運算復(fù)雜度高的問題，該文提出一種基于模型的改進型相關(guān)快速識別方法。首先，基于構(gòu)造凸殼估計目標姿態(tài)角，實現(xiàn)目標成像幾何關(guān)系的估計；其次，提出改進的基于隱藏點移除的目標圖像快速生成方法，可實時得到各備選目標對應(yīng)成像幾何關(guān)系的仿真圖像；進而基于圖像相關(guān)實現(xiàn)目標圖像識別；最后，仿真實驗證明了算法的有效性。仿真實驗結(jié)果表明，相比于常規(guī)的直接模板識別方法，該方法識別率高，計算速度快。
- 合成孔徑聲吶 /
- 目標自動識別 /
- 模型識別 /
- 姿態(tài)角估計 /
- 仿真模板
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.
- Synthetic Aperture Sonar (SAS) /
- Automatic Target Recognition (ATR) /
- Model-based recognition /
- Pose estimation /
- Simulation template

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參考文獻(22)

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