无线电工程2024，Vol.54Issue(10)：2279-2287,9.DOI:10.3969/j.issn.1003-3106.2024.10.001
基于PM算法和噪声识别模型的探地雷达降噪方法
Research on Noise Reduction Method of GPR Based on PM Algorithm and Noise Recognition Model
摘要
Abstract
A noise reduction method based on Perona-Malik(PM)algorithm and Noise Recognition Model(NRM)(PM-NRM)is proposed to solve the problems of high-density noise and effective signal being submerged and then appearing difficulty or even failure in the recognition of Ground Penetrating Radar(GPR)data because of geological or environmental influencing factors.According to the characteristics of GPR data,the algorithm uses improved PM model to increase numerical difference between noise and background in the image.Then the algorithm uses the NRM based on partial differential equation to identify noise,and then uses the improved mean value theorem to restore the noise in the data in turn.Finally,Iterated Conditional Mode(ICM)is combined to achieve the effect of noise reduction.For high-density noise data,compared with traditional noise reduction methods of GPR data,the proposed algorithm has better performance in objective evaluation criteria such as single-channel fitting,Peak Signal to Noise Ratio(PSNR)and Structural Similarity(SSIM).Experimental results show that the algorithm has some practical value in the detection work of GPR system.关键词
探地雷达/Perona-Malik算法/偏微分方程/迭代条件算法Key words
GPR/PM algorithm/partial differential equation/ICM分类
信息技术与安全科学引用本文复制引用
吴学礼,宋凯,史思远,甄然..基于PM算法和噪声识别模型的探地雷达降噪方法[J].无线电工程,2024,54(10):2279-2287,9.基金项目
国家自然科学基金(62003129) （62003129）
河北省重点研发计划项目(19250801D)National Natural Science Foundation of China(62003129) （19250801D）
Key R&D Plan Projects of Hebei Province(19250801D) （19250801D）
