Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 2002-2006.doi: 10.3969/j.issn.1001-506X.2011.09.16

• 传感器与信号处理 • 上一篇    下一篇


唐宁, 高勋章, 黎湘   

  1. 国防科学技术大学空间电子信息技术研究所, 湖南 长沙 410073
  • 出版日期:2011-09-17 发布日期:2010-01-03

Pre-processing of ISAR images in automatic target recognition

TANG Ning, GAO Xun-zhang, LI Xiang   

  1. Institute of Spatial Electronic Information Technology, National University of Defense Technology, Changsha 410073, China
  • Online:2011-09-17 Published:2010-01-03


目标逆合成孔径雷达(inverse synthetic aperture radar, ISAR)像通常表现为随视角变化的稀疏散射中心分布,这严重影响了ISAR像特征提取和目标识别的性能。以获得清晰且稳定的ISAR像为目的,研究了一种新的预处理算法:首先根据斑点噪声和横条纹干扰特点,对图像使用全局迭代阈值抑制斑点噪声,局部散射点强度削减抑制横条纹干扰,然后分别利用形态学处理和邻域平均法填充和平滑图像,最后对图像做质心、尺度和视角的归一化。仿真结果表明,该算法有效地提高了ISAR像的稳定性,有利于后续的目标特征提取与识别。


Inverse synthetic aperture radar (ISAR) images, consisting of many sparse scatters, usually vary with different view angles, which will greatly impact on the feature extraction of the ISAR image and decrease the performance of target recognition via the image. An available preprocessing approach to ISAR images is presented to enhance the stability and recognition performance of ISAR images. It contains suppressing the speckle noise and interferential stripes, connecting the scatters with morphological processing, smoothing images with neighbor average and normalizing the mass center, scale and view angle. Simulation results show that the stability of ISAR images is enhanced greatly after the preprocessing, which is propitious to the latter feature extraction and recognition.