Title :
Multi-temporal SAR images change detection based on nonsubsampled contourlet transform
Author :
Lin Lei ; Vinling Sui ; Huanxin Zou ; Yi Hou
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A novel change detection method for multi-temporal SAR images using nonsubsampled contourlet transform (NSCT) has been proposed. Firstly, we obtain the log-ratio map by comparing two co-registered SAR images with a ratio operator in a logarithmic scale. Secondly, the log-ratio map is decomposed into multiscale and multidirectional sub-images by NSCT, and the speckle noise in each sub-image is suppressed by scale correlation method. Finally, the changes in every sub-image are detected through a constant false alarm rate (CFAR) detector and the result map is derived according to an adaptive fusion strategy. Experimental results on simulated data and real airborne SAR imagery data both confirm the effectiveness of the proposed method.
Keywords :
adaptive signal processing; correlation methods; image fusion; image registration; radar imaging; synthetic aperture radar; transforms; adaptive fusion strategy; constant false alarm rate detector; coregistered SAR image; log-ratio map decomposition; logarithmic scale; multidirectional subimage; multiscale subimage; multitemporal SAR images change detection; nonsubsampled contourlet transform; ratio operator; scale correlation method; speckle noise; subimage suppression; Detectors; PSNR; CFAR; change detection; fusion; nonsubsampled contourlet transform; scale correlation;
Conference_Titel :
Computer Vision in Remote Sensing (CVRS), 2012 International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4673-1272-1
DOI :
10.1109/CVRS.2012.6421294
