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Detection of storm losses in alpine forest areas by different methodical approaches using high-resolution satellite data [pixel-based classification and object-oriented classification] / Marcel Schwarz (2001)

Public contenu dans Observing our environment from space / G. Begni (2002) Titre : Detection of storm losses in alpine forest areas by different methodical approaches using high-resolution satellite data [pixel-based classification and object-oriented classification] Type de document : Article/Communication Auteurs : Marcel Schwarz, Auteur ; C. Steinmeier, Auteur ; Lars T. Waser, Auteur Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 2001 Conférence : EARSeL 2001, 21st international symposium, Observing our environment from space : news solutions for a new millennium 14/05/2001 16/05/2001 Paris France Importance : pp 251 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Alpes [Termes IGN] analyse comparative [Termes IGN] classification [Termes IGN] dommage matériel [Termes IGN] forêt [Termes IGN] image Ikonos [Termes IGN] image SPOT [Termes IGN] risque naturel [Termes IGN] segmentation d'image [Termes IGN] Suisse [Termes IGN] tempête [Termes IGN] texture d'image Résumé : (Auteur) Based on the detection of storm losses in Swiss alpine forest areas, two different digital classification approaches were compared. In contrast to the pixel based classification we investigated an object-oriented classification procedure. The eCognition software package of Definiens offers this possibility. The comparison was performed for images with different spatial resolution - very high resolution images of IKONOS, and images of SPOT in the sharpened mode. The evaluation of the IKONOS image indicated a significantly higher accuracy for the object-oriented classification approach than for the pixel-based method. The eCognition software handles the high level of detail and the associated high texture better than the pixelbased parallelepiped-algorithm. The quality of the pixel-based approach, which takes into account only the spectral information and some derived data-products is limited for very high resolution images. The classification of the SPOT presented approximately the same results for both methods. Numéro de notice : C2001-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64939