Automatic Road Extraction based on Normalized Cuts and Level set Methods

Automatic Road Extraction based on Level Set,Normalized Cuts and Mean Shift Methods

The Urban population is growing so fast in India that planning officials are racing to keep up with urban development .Use of geographic information like satellite imagery helps urban planners manage the ever-changing urban environment accurately and efficiently. Roads are one of the most important features to be extracted from Satellite imagery for urban planning. Manual extraction of roads is...

Automatic Road Extraction based on Normalized Cuts and Level set Methods

Automatic Road Extraction based on Normalized Cuts and Level Set Methods

Automatic road network extraction based on high resolution satellite image for urban planning holds great potential for significant reduction of database development/updating cost and turnaround time. Satellite remote sensing has been recognized worldwide as an effective technology for the monitoring and mapping the urban development. Two approaches for road network extraction for an urban regi...

Automatic Extraction of Road Networks based on Normalized cuts and Mean Shift method for high resolution Satellite Imagery

To evaluate the speed of growth of an urban area road is one of the fast information updating element during urban development. Road information extraction based on high resolution satellite images play an important role because roads affect city land usage. In this paper, two approaches for road network extraction for an urban are proposed. Most research in road extraction begins with an origi...

Road Extraction in Suburban Areas Based on Normalized Cuts

This paper deals with road extraction of high resolution aerial images of suburban scenes based on segmentation using the Normalized Cuts algorithm. The aim of our project is the extraction of roads for the assessment of a road database, however, this paper is restricted to road extraction. The segmentation as our basic step is designed to yield a good division between road areas and the surrou...