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Auteur Emilie Le Hir
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Automatic production of large-scale cloud-free orthomosaics from multitemporal satellite images / Nicolas Champion (2017)
Titre : Automatic production of large-scale cloud-free orthomosaics from multitemporal satellite images Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Emilie Le Hir, Auteur ; Stéphane Massera , Auteur ; Nicolas Bellaiche , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2017 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : Multitemp 2017, 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images 27/06/2017 29/06/2017 Brugge Belgique Proceedings IEEE Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chaîne de traitement
[Termes IGN] continuité cartographique
[Termes IGN] harmonisation des données
[Termes IGN] image Pléiades-HR
[Termes IGN] image SPOT 6
[Termes IGN] image SPOT 7
[Termes IGN] masque
[Termes IGN] orthophotoplan numériqueRésumé : (auteur) The main goal of this paper is to present the automatic pipeline designed at IGN-France to produce automatic large-scale cloud-free orthomosaics from multiple Spot 6/7 and Pléiades-HR satellite images. Our pipeline is composed of three steps: the radiometric harmonisation of satellite images, the automatic production of cloud masks and the stitching procedure. Our evaluation shows that our pipeline is capable to remove all clouds in a given scene and produce seamless orthomosaics. Numéro de notice : C2017-058 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/Multi-Temp.2017.8035214 Date de publication en ligne : 14/09/2017 En ligne : https://doi.org/10.1109/Multi-Temp.2017.8035214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97496 Updating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D / Emilie Le Hir in Journal of The Remote Sensing Society of Japan, vol 32 n° 1 (January 2012)
[article]
Titre : Updating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D Type de document : Article/Communication Auteurs : Emilie Le Hir, Auteur ; Laurent Cunin , Auteur ; Marc Bernard, Auteur Année de publication : 2012 Article en page(s) : pp 15 - 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données ICEsat
[Termes IGN] image SPOT 5
[Termes IGN] image SPOT-HRG
[Termes IGN] modèle numérique de surface
[Termes IGN] point d'appui
[Termes IGN] Référence-3DRésumé : (auteur) Onboard SPOT 5, the HRS instrument systematically collects 600 km × 120 km stereopairs around the Globe since 2002. From this time, SPOT5 stereoscopic imagery becomes one of main satellite data sources for accurate DTED level 2 DEM extraction. Spot Image and French National Cartographic Institute (IGN) decided in 2002 to build a worldwide accurate database called Reference3DTM using HRS data. Huge eorts have been made to standardize the process in order to oer aordable prices. Until 2008, the targeted accuracies were 16 mCE90 for horizontal accuracy, and 10 mLE90 for vertical accuracy. These accuracy requirements were achieved without any control points nor map support. The introduction of the paper briey reminds the most signicant assessments performed by major players within the geospatial community, and more specically the one by ImageONE Co., Ltd. (Tokyo) on two Reference3D geocells over the Northern coast of Japan, Hokkaido province. This work was published in 2008 during the last Beijing ISPRS congress. In 2009, it was decided to introduce reliable GCPs within the Reference3D production process, to increase the horizontal accuracy down to 6-10 mCE90. In addition, two new layers were added to the product, which provide the user with i) the horizontal accuracy for every single pixel of the Reference3D orthoimage and ii) the vertical accuracy for every single elevation value within the Reference3D DEM. The paper shows how the extensive use of ICESat data brings valuable information regarding the eective vertical accuracy, and how ICESat data allows to quantify the elevation accuracy of a dataset. In conclusion, we present the road map for the update of the whole Reference3D database, which currently spreads over more than 45 millions of sq. km. (being more than 4,200 1° by 1° geocells), already funded and started up to 2014, towards 80 Mkm2 of Reference3D products. Numéro de notice : A2012-746 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.11440/rssj.32.15 Date de publication en ligne : 30/01/2012 En ligne : https://doi.org/10.11440/rssj.32.15 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91732
in Journal of The Remote Sensing Society of Japan > vol 32 n° 1 (January 2012) . - pp 15 - 21[article]Documents numériques
en open access
Updating and improving the accuracy ... - pdf éditeurAdobe Acrobat PDF Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) / Nuria Teixido in Marine Ecology Progress Series, MEPS, n° 431 ([09/06/2011])
[article]
Titre : Hierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) Type de document : Article/Communication Auteurs : Nuria Teixido, Auteur ; Anton Albajes-Eizagirre, Auteur ; Didier Boldo , Auteur ; Emilie Le Hir, Auteur ; Montse Demestre, Auteur ; Joaquim Garrabou, Auteur ; Laurent Guigues , Auteur ; Josep-Maria Gili, Auteur ; Jaume Piera, Auteur ; Thomas Prelot, Auteur ; Aureli Soria-Frisch, Auteur Année de publication : 2011 Article en page(s) : pp 45 - 53 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] espace colorimétrique
[Termes IGN] fond marin
[Termes IGN] habitat (nature)
[Termes IGN] image numérique
[Termes IGN] image sous-marine
[Termes IGN] phytosociologie
[Termes IGN] récif corallien
[Termes IGN] segmentation hiérarchique
[Termes IGN] unité phytosociologiqueRésumé : (auteur) An important aspect of marine research is to quantify the areal coverage of benthic communities. It is technically feasible to efficiently obtain images of marine environments at different depths and benthic habitats over large spatial and temporal scales. Currently, there is a large and growing library of digital images to analyze, representing a valuable benthic ecological archive. Benthic coverage is the basis of studies on biodiversity, characterization of communities and evaluation of changes over temporal and spatial scales. However, there is still a lack of automatic or semi-automatic analytical methods for deriving ecologically relevant data from these images. We introduce a software program named Seascape to obtain semi-automatically segmented images (patch outlines) from underwater photographs of benthic communities, where each individual patch (species/categories) is routinely associated to its area cover and perimeter. Seascape is an analog to the classical and better known discipline of landscape ecology approach, which focuses on the concept that communities can be observed as a patch mosaic at any scale. The process starts with a hierarchical segmentation, using a color space criteria adapted to the problem of segmenting complex benthic images. As an endproduct, we obtain a set of images segmented into classified homogenous regions at different resolution levels (hierarchical segmentation). To illustrate the versatility and capacity of Seascape, we analyzed 4 digital images from different habitats and depths: coral reefs (Pacific Ocean), coralligenous communities (NW Mediterranean Sea), deep-water coral reefs (NW Mediterranean Sea) and the Antarctic continental shelf (Weddell Sea). The development of this semi-automatic outline tool and its use for classification constitute an important step forward in the analysis and processing time of underwater seabed images at any scale. Numéro de notice : A2011-609 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3354/meps09127 Date de publication en ligne : 09/06/2011 En ligne : https://doi.org/10.3354/meps09127 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91709
in Marine Ecology Progress Series, MEPS > n° 431 [09/06/2011] . - pp 45 - 53[article]Documents numériques
en open access
Hierarchical segmentation-based software ... - pdf éditeurAdobe Acrobat PDF Updating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D / Emilie Le Hir (2010)
Titre : Updating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D Type de document : Article/Communication Auteurs : Emilie Le Hir, Auteur ; Laurent Cunin , Auteur ; Marc Bernard, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-part8 Conférence : ISPRS 2010, Technical Commission 8 Symposium, Networking the World with Remote Sensing 02/08/2010 12/08/2010 Kyoto Japon ISPRS OA Archives Commission 8 Importance : pp 800 - 804 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données ICEsat
[Termes IGN] image SPOT 5
[Termes IGN] image SPOT-HRG
[Termes IGN] modèle numérique de surface
[Termes IGN] point d'appui
[Termes IGN] Référence-3DRésumé : (auteur) Onboard SPOT 5, the HRS instrument systematically collects stereopairs around the Globe since 2002. Each stereopair can encompass an area up to 600 km x 120 km within a single pass (i.e. 72 000 km² stereoscopic strips). From this time, SPOT 5 stereoscopic imagery becomes one of main satellite data sources for accurate DEM extraction. Spot Image and French National Cartographic Institute (IGN) decided in 2002 to design and build a worldwide accurate database called Reference3D™ using HRS data. This database consists of three information layers: Digital Elevation Model at 1-arc-second resolution (DTED level 2), Orthoimage at 5m resolution and Quality Masks. Huge efforts have been made to standardize the process in order to offer affordable prices. Numéro de notice : C2010-035 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part8/pdf/W08L42_20100304211526.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91729