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Study of object recognition with GPR based on STFT

机译:基于STFT的GPR目标识别研究

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Ground Penetrating Radar has been widely used in nondestructive testing, but its interpretation is difficult. This text put forward to the algorithm of recognizing object based on short-time Fourier transform (STFT), the signal is analyzed in time-frequency domain to obtain the rolling spectrum, and then calculated threshold using Otsu arithmetic to convert to binary number, so that the object can be recognized using the algorithm of label connected components. The experiment expressed this algorithm can recognize the object of the GPR signal effectively, and indicated that STFT can improve object recognition greatly.
机译:探地雷达已广泛用于无损检测中,但很难解释。本文提出了一种基于短时傅立叶变换(STFT)的目标识别算法,在时频域对信号进行分析以获得滚动谱,然后利用Otsu算法计算出阈值,将其转换为二进制数。使用标签连接组件的算法可以识别对象。实验表明,该算法可以有效识别GPR信号的目标,并表明STFT可以大大提高目标识别能力。

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