EXTRACTING ALTERATION INFORMATION BY SVM BASED ON SPECTRUM AND TEXTURE——TAKING JIDI AREA AS THE EXAMPLE
YANG Tao1,2, XUE Yue1, DAI Ta-gen1(1.School of Geosciences and Environmental Engineering,Central South University,Changsha 410083, China;2.Guizhou Nonferrous Metals Geo-exploration Bureau, Guiyang 550005, China)
The traditional mineralization which was extracted from remote sensing images only by spectrum or texture has many shortcomings. It may lack information or has a great demand for samples. A new method for extracting mineralization from remote sensing images by SVM based on spectrum and texture is presented in this paper. Jidi was selected as the typical research area. Firstly, selecting the training sample from the research area on the basis of spectrum and texture; secondly, finding out the most optimal hyperplane and decision-making function; finally, extracting the alteration information. After analyzing the spot investigation and comparing the data of the known alteration areas in the mineral geology mapping of field, it is proved that the alteration information is nearly in accordance with the known alteration areas, and four important alteration abnormity districts have also been plotted out.