A new algorithm for automatic road network extraction in multispectral satellite images

Date

2012-05-09

Author

Karaman, Ersin
Çınar, Umut
Gedik, Ekin
Çetin, Yasemin
Halıcı, Uğur

Metadata

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The aim of this study is to develop automatic road extraction algorithm in satellite images. As roads have different width and surface material characteristics in urban and rural areas, a modular approach for road extraction algorithm is desired. In this study, edge detection, segmentation, clustering and vegetation and land cover analyses are used. In order to combine the results of different methods, a score map based on segmentation analysis is constructed. Quantitative and visual results show that this method is successful in road extraction from satellite images.

Subject Keywords

Road extraction, Multispectral satellite images, Edge detection, Structural analysis

URI

https://hdl.handle.net/11511/77190

Conference Name

Proceedings of the 4th GEOBIA

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

E. Karaman, U. Çınar, E. Gedik, Y. Çetin, and U. Halıcı, “A new algorithm for automatic road network extraction in multispectral satellite images,” Rio de Janeiro - Brazil, 2012, p. 455, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77190.