摘要
Based on the concept of large-scale region segmentation,extraction of texture,shape,spectral information of high resolution remote sensing image associated with the lithology and the advantages of least squares-support vector machines (LS-SVM) in the non-linear prediction were used in the geological lithology identification. The results show that the classification method based on LS-SVM performs well in the high-resolution remote sensing images lithological identification,and provides a new method and means for the classification of geological lithology.