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Automatic target recognition of SAR images based on the fuzzy neural networks

机译:基于模糊神经网络的SAR图像目标自动识别

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ATR (automatic target recognition), based on SAR (synthetic aperture radar) image, is crucial to the success of battlefield awareness and has become a very hot research topic. But many problems, which are caused by a great deal of missing, polluting, and superimposing of the signals, still generally exist in practical application, such as the low recognizing rate. How to recognize the useful signals from badly polluted images has become a difficult point in remote sensing image process. Thus, this paper will provide a way to recognize radar signal automatically by using the fuzzy neural networks.
机译:基于SAR(合成孔径雷达)图像的ATR(自动目标识别)对战场感知的成功至关重要,已成为非常热门的研究课题。但是,由于信号的大量丢失,污染和叠加而引起的许多问题在实际应用中仍然普遍存在,例如识别率低。如何从污染严重的图像中识别出有用的信号已成为遥感图像处理中的难点。因此,本文将提供一种利用模糊神经网络自动识别雷达信号的方法。

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