摘要
矿物成分的野外快速鉴定在遥感地质研究与矿产勘探中至关重要,特征光谱线性反演模型可利用野外获得的岩矿光谱信息快速提取矿物组分,但是在实际使用中发现,使用同一样品的不同类型反射率光谱,模型结果存在显著差异。文章通过对连续统快速傅里叶变换(CFFT)滤波方法和特征光谱线性反演模型(CSLM)的研究,一方面获得了使用CFFT研究岩矿光谱的最佳参数设置,设置低通滤波截止频率为150Hz;另一方面通过对CSLM使用不同光谱数据结果的评价分析,发现使用CFFT滤波后的ASD光谱在野外提取矿物时效果更好。
The rapid identification of the minerals in the field is crucial in the remote sensing geology study and mineral exploration.The characteristic spectrum linear inversion modeling is able to obtain the mineral information quickly in the field study.However,the authors found that there was significant difference among the results of the model using the different kinds of spectra of the same sample.The present paper mainly studied the continuum based fast Fourier transform processing(CFFT) method and the characteristic spectrum linear inversion modeling(CSLM).On one hand,the authors obtained the optimal preferences of the CFFT method when applying it to rock samples: setting the CFFT low-pass frequency to 150 Hz.On the other hand,through the evaluation and study of the results of CSLM using different spectra,the authors found that the ASD spectra which were denoised in the CFFT method could provide better results when using them to extract the mineral information in the field.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2011年第5期1366-1370,共5页
Spectroscopy and Spectral Analysis
基金
国家(863计划)项目(2009AA12Z147)
国家"十一五"科技支撑计划专题项目(2006BAB07B07-01)
中国科学院创新项目(Kzcx2-yw-107)资助
关键词
反射光谱
线性反演模型
矿物鉴定
噪声滤波
Reflectance spectra
Linear inversion model
Mineral identification
Noise filtering