A new GPR image de-nosing method based on BEMD

Lu Gan, Long Zhou, Xinge You
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引用次数: 5

Abstract

This paper presents a new de-noising method for GPR image based on BEMD and wavelet. This method complies with the adaptability from BEMD. The method decomposes the image into a series of IMF components, then applies wavelet threshold de-noising on the selected high frequency IMF components for de-noising. In the reconstruction course, the de-noising IMF and low frequency IMF are combined. The experiment results shows the effectiveness of the method on GPR image.
一种基于BEMD的探地雷达图像去噪方法
提出了一种基于bmd和小波的探地雷达图像去噪方法。该方法符合BEMD的自适应性。该方法将图像分解为一系列IMF分量,然后对选取的高频IMF分量进行小波阈值去噪。在重建过程中,将去噪IMF和低频IMF相结合。实验结果表明了该方法在GPR图像上的有效性。
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