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Automated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)

Public [article]  inGeoinformatics > vol 7 n° 2 (01/03/2004) . - pp 8 - 11 Titre : Automated classification of aerial photographs: detection of forest borders and single trees Type de document : Article/Communication Auteurs : André Dufour, Auteur ; Y. Lopez, Auteur ; J. Lamas, Auteur ; V. Barbezat, Auteur ; J. Jacot, Auteur Année de publication : 2004 Article en page(s) : pp 8 - 11 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] arbre (flore) [Termes descripteurs IGN] détection de changement [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] forêt [Termes descripteurs IGN] Jura, massif du [Termes descripteurs IGN] photographie aérienne [Termes descripteurs IGN] photographie numérique [Termes descripteurs IGN] Suisse Résumé : (Auteur) Aerial photographs are often used in forestry for stand mapping and spatio-temporal landscape dynamics analysis with management perspective. They are preferred to satellite imagery because they are available in time series and are high-resotufion data, more easily accessible to forest managers. Up to now aerial photographs have been analysed by photo-interpreters. This is a time-consuming, laborious, expensive task and repticability of the method depends on the operator. The Swiss Federal Research Institute WSL and the Laboratoire de Production Microtechnique-EPFL are working on aerial photograph analysis automation with the aim to develop a software detecting forest outlines and recognising single-tree location and size on digitised aerial photographs. Numerous applications appear possible : calculating forest cover percentage, monitoring spatio-temporal changes of forest areas or the evolution of single tree radius classes. We explain how the software DENDROS works, and present an application in the Jura Mountains in Switzerland. Numéro de notice : A2004-118 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26645 [article]

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