DocumentCode :
153085
Title :
Tubularity tracking based automatic road detection from sattelite images
Author :
Gurbuz, Y.Z. ; Alatan, A. Aydin
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
2190
Lastpage :
2193
Abstract :
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.
Keywords :
Bayes methods; filtering theory; geophysical image processing; geophysics computing; image recognition; remote sensing; roads; Bayesian filtering; automatic road detection; computational complexity; curvilinear structure detection methods; graph cuts; local peak detection filter; sattelite images; tubularity image; tubularity tracking; Art; Conferences; Filtering; Roads; Robots; Semantics; Signal processing; automatic; remote sensing; road extraction; tracking; tubularity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830698
Filename :
6830698
Link To Document :
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