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Automatic road extraction using high resolution satellite images based on Level Set and Mean Shift methods

Rajeswari, M and Omkar, SN and Senthilnath, J and Reddy, LP and Gurumurthy, KS (2011) Automatic road extraction using high resolution satellite images based on Level Set and Mean Shift methods. In: 2011 3rd International Conference on Electronics Computer Technology (ICECT), 8-10 April 2011, Kanyakumari.

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Official URL: http://dx.doi.org/10.1109/ICECTECH.2011.5941731

Abstract

Analysis of high resolution satellite images has been an important research topic for urban analysis. One of the important features of urban areas in urban analysis is the automatic road network extraction. Two approaches for road extraction based on Level Set and Mean Shift methods are proposed. From an original image it is difficult and computationally expensive to extract roads due to presences of other road-like features with straight edges. The image is preprocessed to improve the tolerance by reducing the noise (the buildings, parking lots, vegetation regions and other open spaces) and roads are first extracted as elongated regions, nonlinear noise segments are removed using a median filter (based on the fact that road networks constitute large number of small linear structures). Then road extraction is performed using Level Set and Mean Shift method. Finally the accuracy for the road extracted images is evaluated based on quality measures. The 1m resolution IKONOS data has been used for the experiment.

Item Type: Conference Proceedings
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Additional Information: Copyright of this article belongs to the IEEE.
Keywords: Level Se; Mean Shift Method; Median Filtering Performance Evaluation; Road Extraction
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 02 May 2013 09:48
Last Modified: 02 May 2013 09:48
URI: http://eprints.iisc.ernet.in/id/eprint/46286

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