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Automated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1405 - 1416 Titre : Automated road extraction from high resolution multispectral imagery Type de document : Article/Communication Auteurs : P. Doucette, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2004 Article en page(s) : pp 1405 - 1416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] axe médian [Termes IGN] bande infrarouge [Termes IGN] banlieue [Termes IGN] classification dirigée [Termes IGN] extraction automatique [Termes IGN] extraction du réseau routier [Termes IGN] image à haute résolution [Termes IGN] image en couleur [Termes IGN] image multibande [Termes IGN] logique floue [Termes IGN] milieu urbain [Termes IGN] parallélisme [Termes IGN] topologie Résumé : (Auteur) This work presents a novel methodology for fully automated road centerline extraction that exploits spectral content from high resolution multispectral images. Preliminary detection of candidate road centerline components is performed with Anti-parallel-edge Centerline Extraction (ACE). This is followed by constructing a road vector topology with a fuzzy grouping model that links nodes from a self-organized mapping of the ACE components. Following topology construction, a Self-Supervised Road Classification (SSRC) feedback loop is implemented to automate the process of training sample selection and refinement for a road class, as well as deriving practical spectral definitions for non-road classes. SSRC demonstrates a potential to provide dramatic improvement in road extraction results by exploiting spectral content. Road centerline extraction results are presented for three 1 m color infrared suburban scenes which show significant improvement following SSRC. Numéro de notice : A2004-502 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1405 En ligne : https://doi.org/10.14358/PERS.70.12.1405 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27019 [article]