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计算机工程 ›› 2010, Vol. 36 ›› Issue (23): 192-193,196. doi: 10.3969/j.issn.1000-3428.2010.23.063

• 人工智能及识别技术 • 上一篇    下一篇

一种ISAR图像中飞机目标识别的新特征

季战领,冯晓毅,阎昆   

  1. (西北工业大学电子信息学院, 西安 710129)
  • 出版日期:2010-12-05 发布日期:2010-12-14
  • 作者简介:季战领(1983),男,硕士研究生,主究方向:计算机视觉,图像处理,模式识别;冯晓毅,教授、博士生导师;阎昆,硕士研究生
  • 基金资助:
    航空科学基金资助项目(2008ZC53030)

New Feature for Plane Target Recognition in ISAR Image

JI Zhanling,FENG Xiaoyi,YAN Kun   

  1. (School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710129, China)
  • Online:2010-12-05 Published:2010-12-14

摘要: 在逆合成孔径雷达(ISAR)图像飞机目标的识别中,传统的特征是ISAR图像的低频傅里叶系数、几何不变矩、形状特征和能量特征等,但上述特征都没有考虑ISAR的纹理。为此,引入一种新特征用于ISAR图像中飞机目标的识别,即提取ISAR的LBP特征来描述图像的纹理,用k近邻分类器进行分类。实验结果表明,该方法达到98.7%的识别率,表明该特征的有效性。

关键词: ISAR图像, LBP特征, 飞机目标识别

Abstract: In the Inverse Synthetic Aperture Radar(ISAR)image plane recognition, the traditional features are lowfrequency Fourier coefficients, geometric moment invariants, shape features and energy features of ISAR images. But these features do not take into account the texture of ISAR. This paper introduces a new feature for the ISAR image plane target recognition, the LBP feature is extracted to describe the ISAR image texture, and k neighbor classifier is used to classify. Experimental result shows an average recognition rate of 98.7% is reached, the LBP feature is effective.

Key words: ISAR image, LBP feature, plane target recognition

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