现代电子技术2016，Vol.39Issue(18)：4-8,5.DOI:10.16652/j.issn.1004-373x.2016.18.002
基于奇异值分解的岩心高光谱数据降噪研究
A new method about core hyperspectral data denoising based on singular value decomposition
摘要
Abstract
In order to eliminate the noise in the core hyperspectral data more effectively,a new method about core hyper⁃spectral data denoising based on singular value decomposition is proposed,in which the concept of singular value decline rate is brought. The number of useful singular value of the characterization signal is determined by the abrupt change point of the singu⁃lar value decline rate. This method is used to denoise the core hyperspectral data collected by ASD FieldSpec® 4,and compared with the denoising method that relies on the singular value relative strength to determine singular value mutation point. Its denois⁃ing effect was evaluated with the root mean square error(RMSE)and the signal⁃to⁃noise ratio(SNR). The results show that the method can improve SNR,reduce RMSE,keep the absorption characteristics of original core hyperspectral curve more effective⁃ly,and eliminate the frizz phenomenon of core hyperspectral curve.关键词
奇异值分解/奇异值下降率/岩心高光谱数据/降噪Key words
singular value decomposition/singular value decrease rate/core hyperspectral data/denoising分类
信息技术与安全科学引用本文复制引用
杨浩,柳炳利,张二喜,郭科..基于奇异值分解的岩心高光谱数据降噪研究[J].现代电子技术,2016,39(18):4-8,5.基金项目
国家自然科学基金资助项目（41272363）；中国地质调查局地质调查项目基于岩心高光谱的原生晕地球化学部找矿预测研究 （）
