Two different matrices are commonly reported in assessment of changedetection accuracy: (1) single date error matrices and (2) binary change/no changeerror matrices. The third, less common form of reporting, is the transition errormatrix. This paper discuses the relation between these matrices. First, it is shown that the transition errormatrix implicitly measures temporal correlation in classification errors. Based on two assumptions (no correlation, maximum correlation), the single date error matrices can be used to obtain a most pessimistic and most optimistic estimate of the transition accuracy. Keywords: change detection, Accuracy.