Road network extraction from SAR Images is an important application in the field of remote sensing. With the development of the SAR imaging technology and the urgent demands from remote sensing applications

many road-network extraction methods have been proposed in the recent twenty years.In this paper

we review the development of road extraction methods from SAR images. First

we classify the course of road extraction into two steps: local detection and global connection. Then

some local detection and global connection algorithms are discussed regarding their application fields and their advantages and disadvantages. Finally

the current problems are given and possible future work is explained.