小波阈Wiener滤波器在航空伽玛能谱降噪中的应用  

Application of wavelet domain Wiener filter in denoising of airborne γ-ray data

作　　者：罗耀耀[1] 葛良全[1] 熊超[1] 徐立鹏[1] 花永涛[1] 

机构地区：[1]成都理工大学,成都610059

出　　处：《核技术》2012年第10期755-758,共4页Nuclear Techniques

基　　金：核地球物理学天然γ场地研究(40774063);国家863计划重大项目(2006AA06A207)资助

摘　　要：在传统的小波降噪基础上,根据Wiener滤波器和小波变换的特点,采用小波域Wiene滤波器对航空γ能谱谱线数据进行了降噪处理,取得了良好效果。采用该方法对内蒙某地区的航空γ能谱数据进行了处理,结果显示,该方法能有效降低原始能谱数据中统计涨落带来的影响,其降噪效果优于传统的降噪方法。The wavelet domain Wiener filter method, which combines the traditional wavelet method and the wiener filter, is established at CUT to reduce noising in as-recorded airborne gamma-ray spectra. It was used to treat an airborne gamma-ray data collected from an area in Inner Mongolia. The results showed that using this method, statistical noise could be greatly removed from the raw airborne gamma-ray spectra, and quality of the processed data is much better than those by conventional spectral denoising methods.

关 键 词：航空伽玛能谱测量 降噪 小波分析 

分 类 号：O657.62[理学—分析化学] TP391[理学—化学]