Indian Journal of Innovations and Developments

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


Affiliations
1 Research Scholar, Periyar University, GSS Jain College for Women, Chennai, India
2 Research Supervisor, Periyar University, Pondicherry University Community college, Pondicherry, India
 

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.


Keywords

Road Extraction, Remote Sensing Field, Self Organizing Map, T-Cluster, T-SOM.
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  • An Automatic Road Network Extraction from Satellite Images Using Modified SOFM Approach

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Authors

P. Karmuhil
Research Scholar, Periyar University, GSS Jain College for Women, Chennai, India
Latha Parthiban
Research Supervisor, Periyar University, Pondicherry University Community college, Pondicherry, India

Abstract


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.


Keywords


Road Extraction, Remote Sensing Field, Self Organizing Map, T-Cluster, T-SOM.

References