A comparison of separate segmentation strategies to reveal geometric changes of buildings in urban area

High-resolution remote sensing (HR) images provide geometric details of land surface, allowing detailed comparison of geographic objects for change detection. Object-based change detection (OBCD) has become the principle approach to detect changes from HR images. Within OBCD, the separate segmentation strategy has the potential of revealing specific object-to-object changes by providing distinct multi-temporal segments for comparison. Three separate segmentation strategies, named SIISeg, SAISeg, and SAOSeg, are compared to show the importance of imbedding association cues in separate segmentation procedure for successive spatial correspondence establishment to reveal the geometric changes. Buildings in urban area are used as examples to show the change detection results and a pair of aerial images is used in the experiment to show the comparison result.