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A robust SAR ATR algorithm using pulse coupled neural network

机译:基于脉冲耦合神经网络的鲁棒SAR ATR算法

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Pulse coupled neural network (PCNN) framework is proposed in this paper for scale, position, elevation and illumination invariant synthetic aperture radar (SAR) automatic target recognition (ATR). We have used public release of the MSTAR dataset to validate our proposed system. We compared our proposed system performance with existing approaches and established the better performance of the proposed system. We have shown that, even with reduced training sets, the proposed system shows consistent performance whereas the performance of conventional systems degrades.
机译:本文针对比例,位置,仰角和照度不变的合成孔径雷达(SAR)自动目标识别(ATR),提出了脉冲耦合神经网络(PCNN)框架。我们使用MSTAR数据集的公开发布来验证我们提出的系统。我们将建议的系统性能与现有方法进行了比较,并确定了建议系统的更好性能。我们已经表明,即使减少了训练集,提出的系统仍显示出一致的性能,而常规系统的性能却下降了。

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