摘要
针对SAR图像目标的特征,采用新的Hu不变矩和仿射不变矩的组合作为特征矢量,设计了一种基于遗传规划的SAR图像目标识别算法。该方法不需要数据先验知识,通过自身的学习就能快速发现数据和数学表达式之间的联系。通过对MSTAR数据中的3类目标进行仿真实验,获得了较好的识别率。
According to the feature of SAR target, combining new Hu invariant moments with affine invariant moments as the feature vectors, target recognition algorithm of genetic programming is designed in SAR image. This method does not require priori knowledge of the data, which can discover relationships between data and express via its own learning. Through the experi- ments of recognizing three-class targets in MSTAR database, the result shows that this algorithm has better recognition efficiency.
出处
《计算机工程与应用》
CSCD
2013年第23期170-173,共4页
Computer Engineering and Applications
基金
航空科学基金(No.2011553021)
西北工业大学基础研究基金(No.JC20110222)
关键词
合成孔径雷达
目标识别
不变矩
遗传规划
Synthetic Aperture Radar（SAR）
target recognition
invariant moments
genetic programming
