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SAR图像人造目标检测研究
引用本文:曹兰英,夏良正.SAR图像人造目标检测研究[J].电子与信息学报,2005,27(12):1872-1875.
作者姓名:曹兰英  夏良正
作者单位:中国雷华电子技术研究所,无锡,214063;东南大学自动控制系,南京,210096;东南大学自动控制系,南京,210096
摘    要:在合成孔径雷达(SAR)自动目标识别中,人造目标的检测至关重要。该文根据SAR图像的特点,对图像中的人造目标进行了检测。首先采用自适应小波滤波方法对图像进行滤波,在保留图像细节的前提下有效地去除了图像中的乘性噪声,使后续的检测变得相对容易。然后采用基于自适应遗传算法的C-划分二维模糊熵算法对图像进行分割。实验结果表明,该文方法能够有效地检测出图像中的人造目标。

关 键 词:合成孔径雷达  小波滤波  模糊熵分割  遗传算法
文章编号:1009-5896(2005)12-1872-04
收稿时间:2004-06-15
修稿时间:2005-02-14

Man-Made Target Detection of SAR Images
Cao Lan-ying,Xia Liang-zheng.Man-Made Target Detection of SAR Images[J].Journal of Electronics & Information Technology,2005,27(12):1872-1875.
Authors:Cao Lan-ying  Xia Liang-zheng
Affiliation:Chinese Leihua Electrical Technical Research Institute, Wuxi 214063,China;Department of Automatic Control Engineering, Southeast University, Nanjing 210096,China
Abstract:In the process of SAR (Synthetic Aperture Radar) ATR (Automatic Target Recognition), man-made target detection is very important. In this paper, analyzing the characteristics of SAR images, a new method is proposed to detect man-made targets in SAR images. Firstly, the image is smoothed with the adaptive wavelet filter; the multiple speckles are removed while the edge property of SAR images is sustained. It made the detection easier. Then, the images is segmented with the 2-D C-partition fussy entropy method based on adaptive genetic algorithm. Test results show that the algorithm can detect man-made targets effectively.
Keywords:Synthetic Aperture Radar (SAR)  Wavelet filter  Fuzzy entropy  Genetic algorithm
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