Depressing the Noise Effects Existing in GPR Images by Applying Curvelet Transform Approach

• Main Authors: Jing-Ciang Zhang, 張景強
• Other Authors: Yi-Shuo Huang
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/22370708447929678758

碩士 === 朝陽科技大學 === 營建工程系 === 102 === Ground penetrating radar (GPR) is a nondestructive probing method with high-resolution. The principle of this geophysical probing technique uses the penetration and reflection characteristics of electromagnetic waves while the waves were propagating through ground layers. Therefore, the nondestructive GPR probing technique may solve problems in a quicker way, and improve survey quality. When the GPR electromagnetic waves struck different ground layer boundaries, the specific dielectric constant of each layer causes the reflective wave differ from the original incident wave,and it can be used to determine the circumstances under GPR scans the ground. In this study, we applied the GPR technique for the problem of flexible pavement subsidence at a section in the test area.The investigation used a 400 MHz transducer, an then, the captured GPR images were depressed the noise effects by introducing Curvelet Transform de-noising algorithm. The signal-noise-ratio was used to determine the effectiveness of noise reduction. With the experimental results, we can know Curvelet Transform performance on noise reduction is more effective than the Wavelet Transform does.