Change Detection in SAR Image Based on Multisacle Product and PCA
In this paper,we present a new method of change detection in SAR images based on multiscale product of wavelet transform and PCA algorithm. This method applied multiscale product of wavelet transform,in order to avoid the affect of speckle noise in sAR,enhance the changed information and weaken the effect of noise. The algorithm of PCA is used to merge every scale after the process of multiscale product. To show the effectiveness of the proposed technique,experiments are conducted on two SAR datasets.Results are compared with two methods which based on wavelet transform and PCA,and it is proved to be superior.
Multiscale product PCA Change detection
Guiting Wang Fengyu Zhang Licheng Jiao
Key Laboratory of Intelligent Perception and Image Understanding of theMinistry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xian,710071,China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
872-875
2009-10-26(万方平台首次上网日期,不代表论文的发表时间)