An Improved Road Extraction Method Based on MRFs in Rural Areas for SAR Images

摘要：

In the proposed general processing framework for road network extraction in synthetic aperture radar (SAR) images, this paper deals with automatic extraction of the road network. The general framework is based on road candidate detection, followed by optimization using a Markov random field description of road networks. The first part introduces the segment extraction technique in the road detection step. After introducing segment junction rules in the latter step, the major modification is the clique potentials of Markov random field that extracts the intersections of road networks, especially for T shape junctions. Advantage over previous extraction is proved by comparison o f the experimental results.

关键词： Markov random fields (MRFs ) road detection road network road model SAR images.

作者: Ge Xu Hong Sun Wen Yang Yongmin Shuai

作者单位: Signal Processing Laboratory,Wuhan University,Wuhan 430079,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）