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A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite Images / K. Karatzalos in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 6 (June 2009) . - pp 667 - 677 Titre : A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite Images Type de document : Article/Communication Auteurs : K. Karatzalos, Auteur ; Demetre Argialas, Auteur Année de publication : 2009 Article en page(s) : pp 667 - 677 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] détail topographique artificiel [Termes IGN] détection du bâti [Termes IGN] extraction automatique [Termes IGN] image aérienne [Termes IGN] image satellite [Termes IGN] segmentation d'image [Termes IGN] traitement géométrique de données Résumé : (Auteur) A region-based level set segmentation was developed for the automatic detection of man-made objects from aerial and satellite images. The essence of the approach is to optimize the position and the geometric form of an evolving curve, by measuring information within the regions that compose a particular image partition based on their statistical description. The present region-based variational model is fully automated without the need to manually specify the position of the initial contour. Furthermore, it converges after a small number of iterations, allowing real-time applications. The developed algorithm was tested for the detection of roads, buildings and other man-made objects in a number of aerial and satellite images. The effectiveness of the algorithm is demonstrated by the experimental results and the performed qualitative and quantitative. Numéro de notice : A2009-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.6.667 En ligne : https://doi.org/10.14358/PERS.75.6.667 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29889 [article]