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Updating land cover databases using a single very high resolution satellite image / Adrien Gressin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W2 (November 2013)    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W2 (November 2013) . - pp 13 - 18 Titre : Updating land cover databases using a single very high resolution satellite image Type de document : Article/Communication Auteurs : Adrien Gressin , Auteur ; Clément Mallet , Auteur ; Nicole Vincent, Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2013 Projets : 1-Pas de projet / Conférence : ISPRS 2013, ISA Workshop on Image Sequence Analysis 11/11/2013 11/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 13 - 18 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] base de données localisées [Termes IGN] classification ascendante hiérarchique [Termes IGN] détection de changement [Termes IGN] données localisées 2D [Termes IGN] image à très haute résolution [Termes IGN] image Pléiades [Termes IGN] mise à jour de base de données Résumé : (auteur) Image change detection has been extensively tackled in the literature in various domains, and in particular for remote sensing purposes. Indeed, very high resolution geospatial images are nowadays ubiquitous and can be used to update existing 2D and 3D geographical databases. Such databases can be projected into the image space, by a rasterization step. Therefore, they provide 2D label maps that can be subsequently compared with classifications resulting for geospatial image processing. In this paper, we propose a classification-based method to detect changes between label maps created from 2D land-cover databases and an more recent orthoimage, without any prior assumptions about the databases composition. Our supervised method is based both on an efficient training set selection and a hierarchical decision process, that follows the structure of topographical databases. This allows to take into account the intrinsic heterogeneity of the objects and themes composing a database while limiting false detection rates, a standard limitation of existing approaches. The designed framework is successfully applied on very high resolution images of Pleiades sensor and two distinct national land-cover databases. Numéro de notice : A2013-813 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W2-13-2013 Date de publication en ligne : 02/10/2013 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-W2-13-2013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80667 [article]

Documents numériques

en open access Updating land cover databases Adobe Acrobat PDF

Homological persistence for shape based change detection between Digital Elevation Models / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W2 (November 2013)    

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W2 (November 2013) . - pp 49 - 54 Titre : Homological persistence for shape based change detection between Digital Elevation Models Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur Année de publication : 2013 Projets : 1-Pas de projet / Conférence : ISPRS 2013, ISA Workshop on Image Sequence Analysis 11/11/2013 11/11/2013 Antalya Turquie OA ISPRS Annals Article en page(s) : pp 49 - 54 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] détection de changement [Termes IGN] modèle numérique de surface [Termes IGN] seuillage d'image Résumé : (auteur) Digital Elevation Models provide an accurate description of scenes allowing change detection by radiometric independence measurements. The height information gives access to the changes in the 3D shape of a scene occurring between two dates. In this paper, a procedure to extract meaningful changes is proposed based on analyzing this shape variation. Instead of filtering a difference map, a multilevel analysis of the difference map based on the theory of persistence is developed to make such analysis independent from a choice of threshold values. Numéro de notice : A2013-815 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W2-49-2013 En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W2/49/2013/ Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80874 [article]

Documents numériques

en open access Homological persistence Adobe Acrobat PDF