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Object-based water body extraction model using Sentinel-2 satellite imagery / Gordana Kaplan in European journal of remote sensing, vol 50 n° 1 (2017)  

Public [article]  inEuropean journal of remote sensing > vol 50 n° 1 (2017) . - pp 143 - 150 Titre : Object-based water body extraction model using Sentinel-2 satellite imagery Type de document : Article/Communication Auteurs : Gordana Kaplan, Auteur ; Ugur Avdan, Auteur Année de publication : 2017 Article en page(s) : pp 143 - 150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse d'image orientée objet [Termes IGN] extraction automatique [Termes IGN] image multibande [Termes IGN] image Sentinel-MSI [Termes IGN] lac [Termes IGN] Macédoine [Termes IGN] Normalized Difference Water Index [Termes IGN] segmentation d'image Résumé : (auteur) Water body extraction is an important part of water resource management and has been the topic of a number of research works related to remote sensing for over two decades. Extracting water bodies from satellite images with a pixel-based method or indexes cannot eliminate other objects that have a low albedo, such as shadows and built-up areas. Since their spectral differences cannot be separated, in this paper a method that combines a pixel-based index and object-based method has been used on a Sentinel-2 satellite image with a resolution of 10 m. The method uses image segmentation on a multispectral image containing 13 bands. It also uses indexes used for extracting water bodies, such as the Normalized Difference Water Index (NDWI). Two study areas with different characteristics have been chosen, one mountainous and one urban region, both of them located in Macedonia. Using object-based techniques and pixel-based indexes, such as NDWI, the results from the NDWI have been improved by a kappa value of more than 0.5. Numéro de notice : A2017-719 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/22797254.2017.1297540 En ligne : https://doi.org/10.1080/22797254.2017.1297540 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88375 [article]

Surveying a mountain highway with UAS : getting accurate results in a rough area / Matteo Luccio in Geoinformatics, vol 18 n° 7 (October - November 2015)

Public [article]  inGeoinformatics > vol 18 n° 7 (October - November 2015) . - pp 6 - 8 Titre : Surveying a mountain highway with UAS : getting accurate results in a rough area Type de document : Article/Communication Auteurs : Matteo Luccio, Auteur Année de publication : 2015 Article en page(s) : pp 6 - 8 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] autoroute [Termes IGN] drone [Termes IGN] Macédoine [Termes IGN] prise de vue aérienne Numéro de notice : A2015-780 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78875 [article]