Title :
A Change Detection Method for Man-Made Objects in SAR Images Based on Curvelet and Level Set
Author :
Su, Juan ; Wang, Renming ; Du, Kai
Author_Institution :
XV an Res. Inst. of High Technol., Xi´´an, China
Abstract :
An unsupervised change detection method for man-made objects in co registered multi-temporal SAR images is proposed in this paper. Based on analyzing the edge structure property of man-made objects, the Curve let transform is used to denoise and enhance the difference image by manipulating certain Curve let coefficients. Then, the enhanced difference image is segmented into the changed and unchanged regions by level set method. Some prior knowledge of man-made objects in SAR images is exploited in both steps. The proposed method can overcome the drawbacks of traditional pixel-level change detection methods, and obtain robust detection results even for high level speckle noise. Experimental results demonstrate its effectiveness and feasibility.
Keywords :
edge detection; image denoising; image enhancement; image registration; image segmentation; object detection; radar imaging; set theory; synthetic aperture radar; transforms; SAR images; curvelet transform; edge structure property; image denoising; image enhancement; image segmentation; level set method; man-made objects; multitemporal SAR image registration; pixel-level change detection method; speckle noise; unsupervised change detection method; Histograms; Image edge detection; Image segmentation; Level set; Noise; Speckle; Transforms; Curvelet; change detection; level set; man-made objects;
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
DOI :
10.1109/ICIG.2011.80
