铀矿地质2017，Vol.33Issue(4)：221-227,7.DOI:10.3969/j.issn.1000-0658.2017.04.005
基于小波变换的航放数据去噪研究
Wavelet Based Denoising Study on Airborne Radioactive Data
李兵海 1李晓禄 1杨玉勤 1张翔1
作者信息
- 1. 核工业航测遥感中心,河北石家庄 050002
- 折叠
摘要
Abstract
This article analyzed the effect of wavelet analysis used in the data processing of airborne radioactive survey,the result had indicated that:1.wavelet analyses can remove the noise effectively in the survey data and reappear the real information and is covered by the noise, but the denoising ability declined with the shrinking of abnormity range.2.The wavelet processed spectrum are more real and ideal than that of five weighting running mean processing method,and can provide the realer radioactive characteristic information of the buried geological body.3.The wavelet processed airborne radioactive spectrum can improve the data's preci-sion effectively,especially that of the low-energy spectrum data.4.The wavelets processed the line (area)data may eliminate the affection of data statistical fluctuation,and can distinguish the peak value caused by abnor-mity which is difficult to find by the naked eye,namely,it can get the weak abnormal information buried in the airborne survey data.5.After appropriate processing,the wavelet can remove the background data,and get the weak abnormity overlapped on the background data.关键词
小波变换/航放数据处理/处理能力/谱数据/线数据/除噪Key words
wavelet/airborne radioactive survey data processing/processing ability/spectrum data/line data/eliminate noise分类
天文与地球科学引用本文复制引用
李兵海,李晓禄,杨玉勤,张翔..基于小波变换的航放数据去噪研究[J].铀矿地质,2017,33(4):221-227,7.
