A Multilevel Extraction Approach of Linear Objects in High Resolution SAR Image
Extraction or recognition of linear objects in high resolution SAR images has been a focus of attention in SAR data applications.Although there are many approaches to extract straight lines,these approaches have more or less limits in their applications.In this paper,for the coarse-to-fine information integration at different scales,a multilevel extraction approach aimed at improving linear object extraction precision,robustness and computational efficiency is presented.Firstly,the effect of the image scale to linear feature extraction in SAR image is analyzed.Then,a multilevel algorithm which can extract linear feature fast and locate it accurately is presented.At last,the approach is tested by the runway extraction,and the results are analyzed.
Multi-resolution Analysis Edge Detection Feature Extraction Edge Tracking Center Line Expanding
Tianze Chen Yi Su
School of Electronic Science and Engineering,National University of Defence Technology,Changsha 410073,China
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26(万方平台首次上网日期,不代表论文的发表时间)