The concept of "accuracy assessment curves" as they relate to image-based c
hange detection is developed. These curves are a graphical representation o
f the relationship between typical accuracy assessment figures and a binary
change detection threshold level. After an introduction to accuracy assess
ment curves, an example is presented. The relationship between typical accu
racy assessment parameters and the location of the binary change threshold
level is first shown with a series of error matrices. This relationship is
then expanded across a range of thresholds and shown as accuracy assessment
curves. These curves show how accuracy figures are dependent on the change
metric's threshold level. This dependency indicates some limitations of bi
nary change maps. These limitations provide the impetus for a continuous ch
ange product. We describe how a continuous Probability-of-change (poc) imag
e, derived from statistical models, can be incorporated with the accuracy a
ssessment curves to produce a more meaningful and informative change detect
ion product.