Junction extraction on road masks by pruned skeletons

Date

2012-09-26

Author

Cinar, UMUT
KARAMAN, ERSİN
GEDİK, Ekin
ÇETİN, YASEMİN
Halıcı, Uğur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This study proposes a new method to detect road junctions from existing road masks obtained from geospatial databases. Moreover, this method can be used to extract junction points from the road masks generated by automatic or semiautomatic road extraction algorithms. The algorithm is intended to lower the false detection rate by refining the input road mask. Vector space analysis of the pruned road skeleton provides a simple yet robust detection and classification strategy. Empirical results demonstrate the success of the proposed junction extraction model.

Subject Keywords

Junction extraction, Remote sensing, Road extraction, Junction type classification

URI

https://hdl.handle.net/11511/41467

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar