Multi-temporal SAR Images Change Detection Based on Nonsubsampled Contourlet Transform

摘要：

　　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.

关键词： nonsubsampled contourlet transform change detection scale correlation fusion CFAR

作者: Lin Lei Yinling Sui Huanxin Zou Yi Hou

作者单位: School of Electronic Science and Engineering National Univ. of Defense Technology Changsha, China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）