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Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)  

Public Titre : Proceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan Type de document : Actes de congrès Auteurs : Hideo Saito, Éditeur scientifique Editeur : International Association for Pattern Recognition IAPR Année de publication : 2009 Conférence : MVA 2009, IAPR Conference on Machine Vision Applications 20/05/2009 22/05/2009 Yokohama Japon open access proceedings Importance : 527 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-4-901122-09-2 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] extraction de traits caractéristiques [Termes IGN] réalité virtuelle [Termes IGN] reconnaissance d'objets [Termes IGN] reconnaissance de formes [Termes IGN] surveillance [Termes IGN] système d'information géographique [Termes IGN] vision par ordinateur Numéro de notice : 19908 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Actes DOI : sans En ligne : https://dblp.uni-trier.de/db/conf/mva/mva2009.html Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86200

Contient

• Automatic GIS updating from high resolution satellite images / Nicolas Champion (22/05/2009)  
• Automatic gigapixel mosaïcing in large scale unstructured underground environments / Daniela Craciun (2009)    
• Extracting 3D polyhedral building models from aerial images using a featureless and direct approach / Fadi Dornaika (2009)  
• Face blurring for privacy in street-level geoviewers combining face, body and skin detectors / Alexandre Devaux (20/05/2009)  

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
19908-01	CG2009	Livre	Centre de documentation	Congrès	Disponible

Mangrove research and coastal ecosystem studies with SPOT-4 HRVIR and TERRA ASTER in the Arabian Gulf / Hideo Saito in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 21 (November 2003) . - pp 4073 - 4092 Titre : Mangrove research and coastal ecosystem studies with SPOT-4 HRVIR and TERRA ASTER in the Arabian Gulf Type de document : Article/Communication Auteurs : Hideo Saito, Auteur ; M.F. Bellan, Auteur ; A. Al-Habshi, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 4073 - 4092 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Abou Dabi [Termes IGN] cartographie thématique [Termes IGN] classification par maximum de vraisemblance [Termes IGN] détection de changement [Termes IGN] Doubaï [Termes IGN] écosystème [Termes IGN] Emirats Arabes Unis [Termes IGN] image SPOT-HRVIR [Termes IGN] image Terra-ASTER [Termes IGN] littoral [Termes IGN] mangrove [Termes IGN] Persique, golfe [Termes IGN] surveillance écologique [Termes IGN] zone tropicale humide Résumé : (Auteur) Mangroves reach their optimal development in the wet tropics although some little known mangrove stands are reported in subtropical arid coastlines especially from the Red Sea to Pakistan where they form one of the driest mangrove habitats in the world. Because they constitute the only available evergreen forest in hyperarid warm coastal areas, the main wetlands for migratory birds and essential nursery ground for many species of fish, it Is imperative to produce a sufficiently accurate map for monitoring their changes and for their protection. The main objective of the present work is to test and to select the best methodological approach to discriminate and map the mangroves and related coastal ecosystems in the United Arab Emirates (UAE). between Abu Dhabi and Dubai, a coastal stretch about 750km long. It was found that the best practical results were produced by the Maximum Likelihood and Mahalanobis classifications although some limitations remain unsolved, especially in open ecosystems, which are common in arid areas. Moreover, SPOT4 HighResolution Visible InfraRed (HRVIR) data proves at least as efficient as TERRA ASTER data, in spite of a slightly finer ground resolution and the great number of channels for ASTER. Ultimately, the most appropriate working scale for mapping coastal habitats, compatible with pixel size, is in the order of 1/25 000. Numéro de notice : A2003-302 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000035030 En ligne : https://doi.org/10.1080/0143116021000035030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22598 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03211	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt