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作 者:李兵海 郑圻森[1] 张文峰[1] 杨玉勤[1] LI Binghai;ZHENG Qisen;ZHANG Wenfeng;YANG Yuqin(Airborne Survey and Remote Sensing Center of Nuclear Industry,Shijiazhuang 050002,China)
出 处:《物探化探计算技术》2022年第4期500-506,共7页Computing Techniques For Geophysical and Geochemical Exploration
基 金:国家国防科技工业局“十三五”核能开发科研规划项目(202004010012)。
摘 要:为了研究NASVD方法在航放谱数据处理中的效果,使用NASVD方法、小波分别处理了定点观测谱数据,处理结果表明:①NASVD与db小波均可不同程度地降低谱数据的噪音,数据量足够大的情况下,NASVD除噪效果优于db小波除噪;②输入数据集点数越大,NASVD除噪效果越好,5000点以上数据集除噪效果基本趋于平稳;③NASVD方法降低谱数据噪音的同时也降低了窗数据的噪音;④db小波只能降低谱数据的噪音,不能降低窗数据的噪音。除此之外,NASVD处理还对峰漂有一定的修正效果,db小波处理后对峰漂没有修正作用。因此在数据量足够大的情况下,用NASVD方法处理谱数据,可以得到更优的效果。In order to study the effect of the NASVD method in the processing of airborne spectrum data,the fixed-point observation spectrum data were processed using the NASVD method and wavelet respectively.The Obtained results show that:both NASVD and db wavelet can reduce the noise but the level is different.When data volume of the spectrum data is large enough,the denoising effect of NASVD is better than db wavelet;the larger the number of input data set points,the better the denoising effect of NASVD,which will basically stabilize when the number of input data set points larger than 5000 points;the NASVD method not only reduces spectral data noise but also reducing Noise of window data;the db wavelet can only reduce the noise of spectral data.In addition,NASVD processing also has a certain correction effect on peak drift,while the db wavelet processing has no correction effect on peak drift.Therefore,when the amount of data is large enough,the NASVD method can be used to process the spectrum data to obtain better results.
分 类 号:P631.4[天文地球—地质矿产勘探]
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