摘要
在浅地层步进频率探地雷达的实际应用中,地表回波等杂波及各种干扰噪声严重影响了探地雷达对地下目标的探测。对探地雷达数据进行预处理,其目的就是要去除地表回波等杂波及各种干扰噪声以加强目标信息。由于实际中地表不是均匀平整的,因而地表回波在每个A-scan数据中的分布位置都不尽相同,这使得传统的一些方法不能很好的去除地表回波。本文从步进频率探地雷达的原理出发,提出了一种极值点定位去除地表回波的方法,并将该方法与均值法去杂波及小波变换去噪相结合来完成对浅地层步进频率探地雷达数据的预处理。通过对实测数据进行处理,其结果表明本文所提的预处理方法取得了很好的效果。
Ground surface reflected wave, other clutter and noises seriously degrade the detection effect of Stepped Frequency Ground Penetrating Radar(SFGPR) of Shallow Subsurface Detection. The aim of pre-processing SFGPR data is removing clutter and noises, enhancing the information of target. Due to ground surface is not smooth, so ground surface reflected wave is not at the same positions in every A-scan data, conventional methods can not remove the ground surface reflected wave effectively. This paper presents a method for ground surface reflected wave removing of SFGPR in detecting shallow subsurface targets by extremum point location, explains the reasonableness of the method from principle of stepped frequency ground penetrating radar. Then uses the method integrates with mean-removed clutter and wavelet denoising to pre-process stepped frequency ground penetrating radar data of shallow subsurface detection, the results of processing measurement data show this pre-processing method is very effective.
出处
《信号处理》
CSCD
2004年第5期507-511,共5页
Journal of Signal Processing
基金
国防科技预研基金项目(No.51407021001DZ02)
