DocumentCode
144275
Title
Extended Kalman filter based semi-automatic robust road detection
Author
Karaomeroglu, Betul ; Baseski, Emre
fYear
2014
fDate
13-18 July 2014
Firstpage
4906
Lastpage
4909
Abstract
The research on automatic road detection from satellite images started in the mid-70s [1]. Nowadays, there are many algorithms about non-supervised and semi-supervised road extraction. While some methods only use weak geometric information in combination with radiometric and spectral characteristics of the roads, more advanced local and global geometric properties such as smooth continuation, maximum curvature or network formation started to appear in recent algorithms.
Keywords
Kalman filters; artificial satellites; feature extraction; geophysical image processing; nonlinear filters; object detection; radiometry; remote sensing; roads; extended Kalman filter; global geometric property; nonsupervised road extraction; radiometric characteristics; satellite images; semi-automatic robust road detection; semi-supervised road extraction; spectral characteristics; Equations; Feature extraction; Kalman filters; Mathematical model; Radiometry; Roads; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947595
Filename
6947595
Link To Document