Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Detection of target change in SAR images based on cluster analysis

WANG Wei-ping,ZHOU Hai-yin,HU Yong-gang,WANG Jiong-qi(Department of Mathematic and System Science,National University ofDefense Technology,Changsha 410073,China)  
According to the deficiency of the traditional change detection methods used to SAR images,which can not decrease the false alarm caused by the background changes efficiently,a cluster-based approach for detecting changes in SAR images is proposed.This method detects the changes in SAR images by introducing Mahalanobis distance(M-distance)to the different clustered images class,and analyzing the changes of M-distance of the pixels by combining the selection of the change threshold value.The simulation results show this method not only can overcome the negative affects caused by changes of natural environment and background,but also is not influenced by the position of the sensors,and can detect the changes in SAR images at different times efficiently.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved