Extraction of unstructured roads from satellite images using binary image segmentation

In this paper, a new methodology is proposed for extraction of unstructured road networks from satellite images using binary image segmentation. The segmentation method is implemented by determining a global threshold which is obtained from a statistical evaluation using a number of sample satellite...

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Bibliographic Details
Published in2013 21st Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
Main Authors Ghaziani, M., Mohamadi, Y., Bugra Koku, A., Konukseven, E. I.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Computers
Global thresholding
Image resolution
ISO standards
Morphological operations
Road / path extraction
Roads
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Summary:In this paper, a new methodology is proposed for extraction of unstructured road networks from satellite images using binary image segmentation. The segmentation method is implemented by determining a global threshold which is obtained from a statistical evaluation using a number of sample satellite images. The thresholding method is based on the observation that the roads in unstructured environments are brighter than non-road areas. In addition, it is observed that in an aerial image, the area covered by roads is only a small percentage. Hence, road pixels are generally populated at the brighter end of the image histogram. After thresholding, morphological operations are applied to the resultant binary image. The results showed that proposed method can be used for automatic extraction of unstructured road network from a variety of satellite images.
ISBN:9781467355629
1467355623
DOI:10.1109/SIU.2013.6531337