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SAR target feature extraction using the 2D continuous wavelet transform

机译:使用2D连续小波变换的SAR目标特征提取

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Abstract: In this paper, we introduce the 2D continuous wavelet transform (CWT) as a tool for the detection stages of an SAR ATR system. We demonstrate that the 2D CWT tuned to reasonable target sizes can enhance the signal to clutter radio and improve detection performance in a focus of attention algorithm as compared to the traditional CFAR algorithm. We also show that the 2D CWT can be used to estimate the size and pose of a target, which can provide important features for second level detection. The detection and feature extraction algorithms were tested on measured one foot resolution SAR data.!13
机译:摘要:在本文中,我们介绍了二维连续小波变换(CWT)作为SAR ATR系统检测阶段的工具。我们证明,与传统的CFAR算法相比,在关注的焦点算法中,将二维CWT调整到合理的目标尺寸可以增强信号对无线电的干扰,并提高检测性能。我们还显示了2D CWT可用于估计目标的大小和姿态,这可以为第二级检测提供重要的功能。检测和特征提取算法在测得的一英尺分辨率SAR数据上进行了测试!13

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