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本文简述了小波变换去噪的方法原理,并用该方法对含有随机干扰的合成探地雷达记录及野外实测数据进行了处理。对理论模型的处理结果表明,相对于常规去噪方法来说,小波变换去噪法能更彻底去除噪声、完整保留信号细节。而地基强夯加固探地雷达剖面图像经小波去噪处理后,不同介质界面变得明显清晰,墩长及墩形较处理前得到突出,尤其是土石墩剖面,墩形及墩长较清晰可辨。理论模型及实测数据研究结果均表明,小波变换去噪法能有效改善探地雷达剖面质量,提高解释的准确性和精确性。
In this paper, the method principle of wavelet transform denoising is briefly described. The synthetic ground-penetrating radar records with random disturbance and the measured field data are processed by this method. The theoretical model results show that, compared with the conventional denoising method, the wavelet transform denoising method can more completely remove the noise and completely preserve the signal details. After the ground-based dynamic compaction of ground penetrating radar profile images by wavelet denoising, the interface of different media becomes clear, pier length and pier shape are prominent before treatment, especially for pier, pier shape and pier length. Discernment The theoretical model and experimental results show that the wavelet transform denoising method can effectively improve the GPR profile quality and improve the accuracy and accuracy of interpretation.