Automatic road extraction using high resolution satellite image based on texture progressive analysis and normalized cut method |
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| Authors: | J Senthilnath M Rajeshwari S N Omkar |
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| Institution: | (1) Visualization and Perception Lab, Dept. of CSE, Indian Institute of Technology, Madras, Chennai, 600 036, India;(2) Dept. of Civil Engg, Indian Institute of Technology, Madras, Chennai, 600 036, India |
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| Abstract: | In this paper the approach for automatic road extraction for an urban region using structural, spectral and geometric characteristics
of roads has been presented. Roads have been extracted based on two levels: Pre-processing and road extraction methods. Initially,
the image is pre-processed to improve the tolerance by reducing the clutter (that mostly represents the buildings, parking
lots, vegetation regions and other open spaces). The road segments are then extracted using Texture Progressive Analysis (TPA)
and Normalized cut algorithm. The TPA technique uses binary segmentation based on three levels of texture statistical evaluation
to extract road segments where as, Normalized cut method for road extraction is a graph based method that generates optimal
partition of road segments. The performance evaluation (quality measures) for road extraction using TPA and normalized cut
method is compared. Thus the experimental result show that normalized cut method is efficient in extracting road segments
in urban region from high resolution satellite image. |
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