Object-level change detection based on full-scale image segmentation and its application to Wenchuan Earthquake

Abstract

Aiming at object fragmentation and poor detection results caused by discontinuous segmentation scale in object-level change detection, a new object-level change detection method based on the full-scale object tree is presented in this paper. The core idea of this new algorithm is to establish the full-scale object tree based on convexity model theory and integrate full-scale image segmentation techniques and change detection into the whole process. Some Wenchuan Earthquake images are taken as an example to discuss the new method for earthquake damage detection and evaluation in urban area, landslide detection, and extraction of barrier lake boundary. The application shows that the new method is robust and it provides an advanced tool for the quantitative detection and evaluation of earthquake damage.