A New Change Detection Algorithm for SAR Images

摘要：

Speckle noise of Synthetic aperture radar (SAR) image and the azimuth sensitivity for imaging obstruct the interpretation and applications for SAR images.But it is very much remote sensing source because it can acquire data under all-day and all weather. Texture features reflect the spatial property of ground objects.If texture features change,in general the ground object does so. Therefore,this paper deep analyzes SAR image texture feature and proposes a new multi-temporal SAR image change detection algorithm,which is called by texture features fusion voting (TFFV) algorithm.Finally,the airborne SAR image data tests the method and experimental results indicate that the presented methods are feasible.

关键词： SAR image change detection tezture feature

作者: S.Q.Huang D.Z.Liu X.H.Cai

作者单位: Xian Research Inst.of Hi-Tech,Hongqing Town,710025,Xian,P.R.China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 729-732

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）