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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

朱兆彤, 彭石寶, 許稼, 許肖梅. 一種基于模型的合成孔徑聲吶圖像目標快速識別方法[J]. 電子與信息學(xué)報, 2015, 37(7): 1757-1762. doi: 10.11999/JEIT141228
引用本文: 朱兆彤, 彭石寶, 許稼, 許肖梅. 一種基于模型的合成孔徑聲吶圖像目標快速識別方法[J]. 電子與信息學(xué)報, 2015, 37(7): 1757-1762. doi: 10.11999/JEIT141228
Zhu Zhao-tong, Peng Shi-bao, Xu Jia, Xu Xiao-mei. Fast Model-based Automatic Target Recognition Method for Synthetic Aperture Sonar Image[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1757-1762. doi: 10.11999/JEIT141228
Citation: Zhu Zhao-tong, Peng Shi-bao, Xu Jia, Xu Xiao-mei. Fast Model-based Automatic Target Recognition Method for Synthetic Aperture Sonar Image[J]. Journal of Electronics & Information Technology, 2015, 37(7): 1757-1762. 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
基金項目: 

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

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

  • 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。
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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

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