Centre de documentation
scientifique

Combining top-down and bottom-up approaches for building detection in a single very high resolution satellite image / Mahmoud Mohammed Sidi Youssef (2014)  

Public Titre : Combining top-down and bottom-up approaches for building detection in a single very high resolution satellite image Type de document : Article/Communication Auteurs : Mahmoud Mohammed Sidi Youssef, Auteur ; Clément Mallet , Auteur ; Nesrine Chehata , Auteur ; Arnaud Le Bris , Auteur ; Adrien Gressin , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2014 Conférence : IGARSS 2014, International Geoscience And Remote Sensing Symposium 13/07/2014 18/07/2014 Québec Québec - Canada Proceedings IEEE Importance : pp 4820 - 4823 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification [Termes IGN] détection du bâti [Termes IGN] image multibande [Termes IGN] image Pléiades-HR [Termes IGN] pansharpening (fusion d'images) [Termes IGN] reconnaissance de formes Résumé : (auteur) Building detection from geospatial optical images has been a popular topic of research for the last twenty years and in particular with the emergence of very high resolution satellites. Existing methods exhibit various flaws and prevent them from being efficient at large scales of space and time: they are context-dependent, require a tedious parameter tuning or several data sources. In this paper, we propose a fully automatic method that alleviates some of these issues by combining the strengths of bottom-up and top-down approaches, i.e., of both classification and pattern recognition algorithms. This allows to correctly detect the objects by geometric prior knowledge while finely delineating their borders and preserving their shapes. The method is evaluated over a complex area of more than 230 buildings using a 0.5 m multispectral pansharpened Pleiades image. Numéro de notice : C2014-028 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2014.6947573 Date de publication en ligne : 10/11/2014 En ligne : http://dx.doi.org/10.1109/IGARSS.2014.6947573 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83398