A Non-Supervised Method For Shoreline Extraction Using High Resolution SAR Image
This paper presents a non-supervised method for shoreline extraction from high resolution synthetic aperture radar (SAR) image.The proposed technique is based on level set with all the parameters optimized in order to be used with different kinds of SAR data and to find the desired boundary with a minimize number of iterations so as to be fast enough.The preprocessing including Roberts Operator and Histogram adjusting is used to enhance the contrast of the boundary.Then we initial the curve to cover the whole image,and an improved level set method is used to do the segmentation.After that,several post-processing steps are utilized to remove any remaining spurious segments.Its completely non-supervised and can be applied to different kinds of SAR data.The results confirm that the proposed method can provide a stable and fast solution to the shoreline extraction using SAR data.
Shoreline extraction level set SAR non-supervised
Long Zhao Ling Fan Chao Wang Yixian Tang Bo Zhang
Beijing Jiaotong University, Beijing 100044;Center for Earth Observation and Digital Earth,CAS Beiji Beijing Jiaotong University, Beijing 100044 Center for Earth Observation and Digital Earth,CAS Beijing 100094
国际会议
厦门
英文
1-6
2012-12-16（万方平台首次上网日期，不代表论文的发表时间）