부산대학교 도서관

This paper proposes a novel method for improving the accuracy of land cover classification by using texture information derived from the gray level co-occurrence matrix (GLCM). Our proposed method directly vectorizes GLCM elements rather than calculating ordinal texture features. Therefore, we do not have to choose which texture feature is suitable for land cover classification. We used a support vector machine (SVM) for the classifier and confirmed the characteristics of accuracies by changing the number of gray levels (2 to 16) and the size of the calculating window (3 to 21).