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基于纹理特征和数学形态学的SAR图像目标检测方法
引用本文:叶海军.基于纹理特征和数学形态学的SAR图像目标检测方法[J].中国电子科学研究院学报,2009,4(4):436-440.
作者姓名:叶海军
作者单位:中国电子科学研究院,北京,100041
摘    要:SAR图像目标检测是SAR图像解译的基础。针对含有目标的SAR图像,利用垂直方向的边缘纹理检测方法对预处理后的图像进行垂直边缘检测,再运用数学形态学中的腐蚀运算和膨胀运算对垂直方向边缘图进行虚警滤除处理,从而得到感兴趣的目标检测区域。详细地给出了SAR图像目标检测步骤,并将本方法与其他方法的检测结果进行了比较,实验结果表明,在均匀杂波背景与非均匀杂波背景下,该方法能够快速有效地实现SAR图像目标检测。

关 键 词:SAR图像  边缘检测  垂直纹理特征  数学形态学  目标检测  

SAR Image Target Detection Method Based on Texture Feature and Mathematical Morphology
YE Hai-jun.SAR Image Target Detection Method Based on Texture Feature and Mathematical Morphology[J].Journal of China Academy of Electronics and Information Technology,2009,4(4):436-440.
Authors:YE Hai-jun
Affiliation:China Academy of Electronic and Information Technology;Beijing 100041;China
Abstract:SAR image target detection is the basic of SAR image interpretation.Observed that SAR images have targets,after the pretreatment image is vertical edge detected by the detection method of vertical texture feature,the vertical edge image is false alarm filtered by the erode operation and the dilate operation of mathematical morphology.Finally,region-of-interests targets are obtained.The SAR image target detection method is given in details in this paper.The application examples have shown that SAR image targ...
Keywords:SAR image  edge detection  vertical texture feature  mathematical morphology  target detection  
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