| 基于小波变换的航放数据去噪研究 |
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| 引用本文： | 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(4):221-227. |
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| 作者姓名： | 李兵海 李晓禄 杨玉勤 张翔 |
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| 作者单位： | 核工业航测遥感中心,河北石家庄,050002 |
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| 摘 要： | 分析了小波变换在航放数据处理中的应用效果,分析结果表明:(1)小波分析能够有效地去除叠加在航放测量数据上的噪声,再现被噪声掩盖的真实信息,其除噪能力随处理异常范围的变小而变小;(2)小波处理航放谱数据可得到较五点加权滑动平均处理方法更为真实、理想的能谱数据,从而能更真实地反映所测地质体的放射性特征信息;(3)小波处理航放能谱数据,可有效地提高数据的精度,且低能谱部分提高较多;(4)小波变换处理测线(区)数据可基本消除统计涨落的影响,从而识别肉眼难以识别的由微弱异常所引起的峰值,即提取航放数据中的微弱异常;(5)小波变换经过合适的处理程序,可以去除背景场,提取叠加在背景场上的微弱异常。
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| 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 |
Wavelet Based Denoising Study on Airborne Radioactive Data |
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| LI Binghai,LI Xiaolu,YANG Yuqin,ZHANG Xiang.Wavelet Based Denoising Study on Airborne Radioactive Data[J].Uranium Geology,2017(4):221-227. |
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| Authors: | LI Binghai LI Xiaolu YANG Yuqin ZHANG Xiang |
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| 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. |
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| Keywords: | wavelet airborne radioactive survey data processing processing ability spectrum data line data eliminate noise |
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