| 基于核主成分支持向量机的火成岩QAPF分类——以青海格尔木地区为例 |
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| 关键词:kernel principal component SVM igneous rocks QAPF hyperspectra |
| 基金项目:国家自然科学基金项目(编号: 40872193; 41072244) |
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| The Classification of Igneous Rocks with QAPF Based on Kernel Principal Component SVM: A Case Study of Golmud Area in Qinghai Province |
| In this paper, the non-linear feature extraction capability of KPCA was used to reduce dimensionality and extract spectral features of Hyperion hyperspectral data. The extracted feature information was employed as the sample data and the KPCA-SVM regression model was established. According to this model, the percentage of rock oxide in the study area was retrieved. The QAPF igneous rock classification scheme proposed by IUGS was utilized to classify the igneous rocks. The oxide content retrieved from the hyperspectral data became more reasonable by using KCPA for dimension reduction. In accordance with the QAPF model, the igneous rock classification results were most satisfactory, and the classification results became an effective complement of the existing geological map. It is proved that the KPCA-SVM method is a fast and feasible means for lithologic classification based on hyperspectral remote sensing data. |
| LIN Nan,JIANG Qi-gang,CHEN Yong-liang,YANG Jia-jia,CUI Han-wen.2014.The Classification of Igneous Rocks with QAPF Based on Kernel Principal Component SVM: A Case Study of Golmud Area in Qinghai Province[J].Acta Geoscientica Sinica,35(4):487-494. |
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