An Automatic Road Network Extraction from Satellite Images Using Modified SOFM Approach

摘要

Objective : The objective of this study is an Automatic Extraction of road networks from very high resolution satellite images. It is an important research area in remote sensing field. Methods/Analysis : We present fully automatic road extraction from high resolution satellite images using modified self organizing map. Firstly, it focuses a road detection using self organizing map algorithm. At the end, the T-Cluster method is used to improve the segmentation in road networks. Findings : Experimental results show the significant accuracy (90%) and efficiency of proposed approach. Application/Improvement : The modified T-SOM technique provides the resources for readily creating, maintaining and updating the road transportation databases used in vehicle tracking and traffic management.