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