THE ABILITY to detect changes that quantify temporal
effects using multitemporal imagery provides a fundamental
image analysis tool in many diverse applications. Due to
the large amount of available data and extensive computational
requirements, there is a need for change detection algorithms
that automatically compare two images taken from the same
area at different times and determine the locations of changes.
Usually, in the comparison process [1]–[4], differences between
two corresponding pixels belonging to the same location for an
image pair are determined, based on some quantitative measure.
Then, a change is labeled if this difference measure exceeds a
predefined threshold, and no change is labeled, otherwise.