Abstract: An object-oriented change detection approach based on the status transition analysis is proposed.The historical images are used as the auxiliary data to estimate the trends of the land-use change,and the status transition matrix(STM) are used to modify the change detection results.An error analysis is conducted to test the STMs generated by different period auxiliary images,and the result is consistent with the proposed suppositions in the paper.The validity of the proposed approach is illustrated by the comparison with the results of the different change detection methods.