�Գ��ʰ뵺Ϊ�о�����, ����2000���2007���MOD IS����, Ӧ�����Թ��׻��ģ�ͽ�����Ԫ��ַֽⲢ��ȡ��������, ����Ԫ��ַֽ���д�ֵĵ������ͽ��������з���, �Ծ�����ģ�ͽ����������÷��ࡣ�������, ��Ԫ��ַֽ��ľ��������������徫�ȴ�78.346 5% , Kappaϵ����0.681 3������Ԫ��ַֽ�ǰ�����Ȼ���;��������������, ���������ྫ�����������Ȼ��, ����Ԫ��ַֽⷽ������˷��ྫ�ȡ���2000���2007����Ԫ��ַֽ��ľ������������Ա�: ���ʸ����������; ���������������, �����������ӡ�

In order to do land use classification by decision tree method (DTC) , the authors process pixel component unmixing and extract category features using linear spectral mixture model, and analyse the misclassified surface object type after pixel component unmixing which were combined with texture based on 2000 and 2007 MODIS data in Korean Peninsula. The analysis result shows the accuracy of DTC after pixel component unmixing is 78.346 5% and Kappa coefficient is 0.681 3. Compared with the classification results ofmaximum likelihood and DTC before pixel component unmixing, the classification accuracy of DTC is superior to maximum likelihood and the pixel component unmixing method improves the classification accuracy. According to the DTC classification results after pixel component unmixing of 2000 and 2007, the farmland area increased in northern Korean peninsula, while the farmland area decreased and the residential area increased in southern Korean peninsula.