Gpr Signal Wavelet Analysis Technology And Its Engineering Applications

Ground Penetrating Radar (GPR), As a new highway nondestructive testing technology, with fast, noninvasive, high efficiency, low-cost and high-resolution imaging advantages, which has been widely used. In practical application, the GPR signaltaken by the rush often include many or mutation of the non-stationary components, and the noise is not necessarily a smooth white noise. To analyze these signals, the first signal of the need for pretreatment of signal noise removal of part, extract useful signal. This right signal denoising, using traditional Fourier law is powerless, and wavelet analysis can distinguish signals of the mutation and noise, thus achieving the signal denoising. So in ground penetrating radar signal processing, wavelet transform is more suitable. In the use of treated ground penetrating radar images discriminant roadbed and tunnel lining quality, Correct identification of objects with the characteristics of radar images is ground-penetrating radar images to explain the core content. This paper echoes wavelet processing ground penetrating radar signals using a wavelet transform Victoria mandatory Denoising, hardware, soft thresholding wavelet packet filtering and detection algorithm for single-wave radar signal filter achieved good results. Denoising comprehensive comparison of various methods of handling, filtering threshold Denoising actual results, and high reliability. Compulsory filtering relatively simple, but easily lost signal the useful part. Using wavelet transform two-dimensional hard, soft thresholding wavelet filtering and packet filtering, Wavelet Image Compression analysis approach radar images. After treatment can be more clear radar images, compare various methods of dealing with the results it is not difficult to find. Hard threshold filtering can be better to retain Edge and other local features. But the image artifacts Gibbs visual distortion effects; and soft threshold processing relatively smooth, But may be marginal vague distortion. In addition, image compression, the better to remove the image of redundant information (such as spatial redundancy, Redundant visual and structural redundancy, etc.) to retain important information. Using ground-penetrating radar images discriminant roadbed and tunnel lining quality, We first collected on the first radar image data processing, Then under different roadbed and runnel defects waveform characteristics of the scene through coring test thus come to different characteristics of the radar images corresponding to the roadbed and tunnel defects. In this paper using ground-penetrating radar to determine Image Recognition tunnel lining quality and provide a basis.