| 光谱学与光谱分析 |
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| Study of Using Regional Mineral Spectra Library and Section Noise Filtering to Improve Mineral Identification Accuracy |
| WANG Ya-jun1, 2, LIN Qi-zhong1*, WANG Qin-jun1, LI Shuai3 |
1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2. Graduate University of Chinese Academy of Sciences，Beijing 100049，China
3. Indiana University，Indianapolis，IN 46202，USA |
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Abstract Aiming at the low accuracy of mineral identification with hyperspectral data, the present article established regional spectra library on the basis of the study area geological background, and presented a pretreatment method that filters the original spectra by section. First, continuum based fast Fourier transform was used to filter the noise among 2 000~2 200, 2 250~2 300 and 2 350~2 500 nm. Then apply the Rapid quantificational identification model with regional spectrum library was used to dispose the processed spectra. The highest effective rate of the result is 80%, and the highest accuracy rate is 67%. Compared with the identification result of original spectra, the average accuracy rate was upgraded by 17.7%, and the average effective rate was upgraded by 5.1%. Compared with the identification result of all-filtered spectra, the average accuracy rate was upgraded by 5.8%, while the average effective rate was upgraded by 39.8%. This method , which could guarantee that the identification result contains the most correct minerals and the fewest error ones, promoted mineral identification accuracy. The result with higher accuracy is significant to rapid mineral extraction work in field.
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Received: 2012-01-26
Accepted: 2012-04-18
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Corresponding Authors:
LIN Qi-zhong
E-mail: qzlin@ceode.ac.cn
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