Tubularity Tracking Based Automatic Road Detection from Sattelite Images

Date

2014-04-25

Author

Gürbüz, Yeti Ziya
Alatan, Abdullah Aydın

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In this paper, a novel approach based on tubularity tracking and graph cuts for road detection from satellites images is presented. The most important feature of the proposed method is its local peak detection filter. Unlike the tubularity based road or road like curvilinear structure detection methods presented in the literature, proposed method samples local peaks from tubularity image by tracking the peak points based on Bayesian filtering in order to construct graphs and introduces no significant computational complexity.

Subject Keywords

Remote sensing, Road extraction, Tubularity, Tracking, Automatic

URI

https://hdl.handle.net/11511/55017

Conference Name

22nd IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

Y. Z. Gürbüz and A. A. Alatan, “Tubularity Tracking Based Automatic Road Detection from Sattelite Images,” presented at the 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Karadeniz Teknik Univ, Trabzon, Turkey, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55017.