基于小波熵的航空磁测数据去噪  

Aeromagnetic survey data denoising based on wavelet entropy

作　　者：谭斌[1,2] 林春生[1] 傅慷[1] 

机构地区：[1]海军工程大学兵器工程系 [2]海军91458部队

出　　处：《湖北大学学报（自然科学版）》2012年第4期464-468,共5页Journal of Hubei University：Natural Science

基　　金：国防重点实验室基金项目(51444060101JB1108)资助

摘　　要：在小波阈值去噪的基础上引入小波熵概念,利用信号在不同的分解尺度上具有不同的小波熵,自适应地确定高频系数分量的阈值.仿真和试验分析表明,在低信噪比条件下,小波熵阈值的去噪效果优于其他几种阈值,能够有效去除航空磁测数据中的噪声,提高磁异常探测能力.The wavelet entropy concept was introduced on the basis of soft-threshold denoising method,so the threshold of high-frequency coefficients could be adaptively determined utilizing wavelet entropy of the signal at different decomposed levels.Simulation and test analysis showed that the denoising effect of wavelet entropy threshold was better than some other threshold denoising methods at low signal-to-noise rat,and it could remove the noise of aeromagnetic survey data effectively,thus improved detection ability of weak magnetic anomaly.

关 键 词：小波熵 航空磁测 去噪 阈值 

分 类 号：TN91[电子电信—通信与信息系统]