Title :
Graph based SAR images change detection
Author :
Gou, Shuiping ; Yu, Tiantian
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
Abstract :
A change detection method for SAR images based on graph is proposed in this paper. In order to avoid the information loss of constructing difference image, we operated directly on the original and changed images. Two adjacent graphs based on the original and changed images are constructed, and two adjacent graphs are connected together to obtain the difference graph. And then we cut the difference graph with spectral clustering. As a result, the global information and local structure information of each pixel from original and changed images are used by constructing three adjacent graphs graph. Compared with traditional difference image based change detection method, the proposed method has lower overall alarms. In addition, the patches are produced by using graph cut and computation cost is reduced greatly for our algorithm.
Keywords :
graph theory; object detection; pattern clustering; radar imaging; synthetic aperture radar; changed images; computation cost; difference graph; difference image based change detection method; global information; graph based SAR image change detection method; graph cut; local structure information; original images; spectral clustering; synthetic aperture radar; Decision support systems; change detection; graph construction; graph cut; spectral clustering;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351077