| 基于Shearlet变换的探地雷达数据噪声压制研究 |
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| 作者姓名： | 郑晶 余可 王鹏越 蒋书琦 滕星智 |
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| 作者单位： | 1.中国矿业大学(北京)地球科学与测绘工程学院,北京100083;2.煤炭资源与安全开采国家重点实验室,北京100083;3.北京博安瑞达工程技术有限公司,北京100083 |
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| 基金项目： | 国家自然科学基金(41504112);国家重大科学仪器设备开发专项(2012YQ030126);煤炭资源与安全开采国家重点实验室大学生科技创新计划(SKLCRSM16DC14);国家重点研发计划(2016YFC0501102);北京市自然科学基金(8162035) |
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| 摘 要： | 应用探地雷达(GPR)探测地下目标分布状况时,接收数据中的有效信号往往容易受噪声及空气直达波等的干扰,增加地下目标识别的难度,影响地下目标识别的准确性.Shearlet变换在图像和地震数据去噪上的成功应用说明其去噪能力的优越性.但应用Shearlet变换对数据进行降噪处理时,阈值的选择对去噪效果影响较大.为了提高应用Shearlet变换对探地雷达数据进行去噪处理时的效果,本文提出了一种结合奇异值分解的Shearlet变换噪声压制方法.该方法能有效去除随机噪声,增强有效反射信号.将该方法应用到仿真和实测探地雷达数据处理中,结果证实了该方法的有效性.
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| 关 键 词： | Shearlet变换 奇异值分解 探地雷达 噪声压制 |
| 收稿时间： | 2016-10-14 |
GPR data noise attenuation based on the Shearlet transform |
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| Affiliation: | 1.College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China;2.State Key Laboratory of Coal Resources and Safe Mining,Beijing 100083,China;3.Beijing Bo′an Ruida Engineering Technology Company Limited,Beijing 100083,China |
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| Abstract: | When using ground penetrating radar(GPR)to detect the underground target distribution,valid signal in receiving data tend to be susceptible to noise and the interference of air-ground waves,which will affect the accuracy of target recognition and increase the difficulty of target recognitionThe successful application of Shearlet transform in image and seismic data shows its superiority for denoising processWhen using the Shearlet transform to reduce the noise of the data,the choice of threshold has a great influence on the denoising effectIn order to improve the denoising effect for radar data,a novel denosing method combining singular value decomposition(SVD)method for suppression of random noise to enhance the reflection signal caused by underground targetsThe method is applied to process was proposed the simulation and field datasets,and the experimental results show that the method is effective |
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