期刊名称：Indian Journal of Innovations and Developments
印刷版ISSN：2277-5382
电子版ISSN：2277-5390
出版年度：2016
卷号：5
期号：4
页码：1-6
语种：English
出版社：Indian Society for Education and Environment
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.
其他摘要：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.
