Automatic bridge detection in high-resolution satellite images - Université Paris Cité Accéder directement au contenu
Communication Dans Un Congrès Année : 2003

Automatic bridge detection in high-resolution satellite images

Résumé

A set of methodologies and techniques for automatic detection of bridges in pan-chromatic, high-resolution satellite images is presented. These methods rely on (a) radiometric features and neural networks to classify each pixel into several terrain types, and (b) fixed rules to find bridges in this classification. They can be easily extended to other kinds of geographical objects, and integrated with existing techniques using geometric features. The proposed method has been tested in a number of experiments.
Fichier principal
Vignette du fichier
document.pdf (485.34 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00136303 , version 1 (13-03-2007)

Identifiants

  • HAL Id : hal-00136303 , version 1

Citer

Roger Trias-Sanz, Nicolas Loménie. Automatic bridge detection in high-resolution satellite images. Apr 2003, pp.172-181. ⟨hal-00136303⟩
44 Consultations
498 Téléchargements

Partager

Gmail Facebook X LinkedIn More