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      A Novel Method for Detecting and Identifying Road Junctions from High Resolution SAR Images

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          Abstract

          Road junctions are important parts of the road network, and have a major role in GIS database updating, image matching, object detecting, and so on. In high resolution SAR images, there exist various kinds of interference on the road, and the contrast is not obvious between roads and surroundings. It is difficult to extract road junctions by traditional methods. A new method is proposed for directly detecting and identifying road junctions in this paper. Firstly, based on the junctions gray feature, global searching is done for the center positions of the road junctions’ candidate regions, by using morphological transformation methods. Secondly, the center positions are set as the local windows centers, road targets are segmented by using the multi-threshold Otsu method in the local windows. Thirdly, according to the geometric characteristics of junctions, we obtain the angle-mean figure in the rectangular template rotation process, and then get the number of the roads connected to a junction. Finally, the style of the junction is recognized. In 1 m high-resolution airborne SAR image experiment, the results indicate that this method is effective to detect and identify the junctions with various interferences.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 March 2012
          : 1
          : 1
          : 100-108
          Affiliations
          [1 ] (College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
          Article
          4d4da80ad42d420d8a6cdd723d7aa6ac
          10.3724/SP.J.1300.2012.20024

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

          Remote sensing, Electrical engineering

          SAR, Shape identification, Region detection, Road junction

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