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» Learning to Detect Roads in High-Resolution Aerial Images
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ECCV
2010
Springer
13 years 9 months ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
ICIP
2003
IEEE
14 years 6 months ago
Detection and extraction of road networks from high resolution satellite images
This article addresses the problem of road extraction from new high resolution satellite images. The proposed algorithm is divided in two sequential modules : a topologically corr...
Renaud Péteri, Julien Celle, Thierry Ranchi...
RIVF
2007
13 years 6 months ago
On-line Boosting for Car Detection from Aerial Images
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
ICIP
2009
IEEE
13 years 2 months ago
Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images
This paper presents a new method for extracting roads in Very High Resolution remotely sensed images based on advanced directional morphological operators. The proposed approach i...
Silvia Valero, Jocelyn Chanussot, Jon Atli Benedik...
WACV
2005
IEEE
13 years 10 months ago
Realtime Road Detection by Learning from One Example
Realtime detection and localization of a road from an aerial image is an emerging research area that can be applied to vision-based navigation of unmanned air vehicles. Existing r...
Zu Whan Kim