AUTOMATIC CHANGE DETECTION BASED ON PIXEL-CHANGE AND DSM-CHANGE

A new algorithm for automatic change detection is presented. It detects a pixel-change and DSM-change from two orthoimages and two DSMs. Pixel-change is detected by using least squares fitting technique. This method performs well even if the two orthoimages have tone difference. DSM-change is detected by difference DSM. This method can detect not only constructed buildings but also features which have no changes in elevation, such as constructed roads. We have tested our method using the aerial photos observed over testfield in Tsukuba, Japan. We confirmed by the interpretation test that pixel-change and DSM-change make it easier and take less time to find changed areas even if the conditions of data acquisition are not same.