Line Extraction for SAR Image
Runsheng Wang · Dianzi xuebao · 2003
A line extraction algorithm for synthetic aperture radar (SAR) image is presented.The algorithm is designed for the statistical characteristics of the speckle in SAR image.Three steps are involved.Firstly,a new edge detector,which combines the Canny operator and Ratio operator,is used to get the edge points and their directions,then the edge points are grouped based on the edge direction consistency to form the initial lines.Finally,the broken lines due to speckle noise are connected by the high level grouping.The proposed new edge operator is CFAR and prevents the line from cleaving.The high level grouping step analyses the initial lines,finds out the possible areas for expanding lines,and verifies the possible areas by statistical hypothesis determination.The line extraction algorithm is tested on the X-band airborne SAR images.The extracted line graph can be used for SAR image vectorization and comprehension etc.