Technology and Methodology |
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THE EXTRACTION OF MINERALIZED AND ALTERED ROCK
INFORMATION FROM REMOTE SENSING IMAGE BASED ON SVM |
FU Wen-jie 1,2, HONG Jin-yi 1, ZHU Gu-chang 3 |
Environmental Engineering, Central South University, Changsha 410083, China; 2.Putian University, Putian 351100, China; 3.Nonferrous Metals Resource Geological Survey of China, Beijing 100814, China |
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Abstract A new method for extracting mineralization information from remote sensing image based on Support Vector Machines (SVM) is presented in this paper. According to the field measured spectral data of mineralized alteration rocks and wall rocks, the authors first extracted the training examples by Spectral Angle Mapper (SAM), and then selected the RBF as the kernel function. After that, cross-validation algorithm was applied to seek superior SVM model parameters. This model was used to extract mineralization information from remote sensing image in Mangya area, Qinghai province. Practice has proved that this method is effective in extracting mineralization information.
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Issue Date: 10 September 2009
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