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Measurement of ground displacement from optical satellite image correlation using the free open-source software MicMac / Ana-Maria Rosu in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 48 - 59 Titre : Measurement of ground displacement from optical satellite image correlation using the free open-source software MicMac Type de document : Article/Communication Auteurs : Ana-Maria Rosu, Auteur ; Marc Pierrot-Deseilligny , Auteur ; Arthur Delorme, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 48 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse comparative [Termes IGN] appariement d'images [Termes IGN] COSI-Corr [Termes IGN] déformation horizontale de la croute terrestre [Termes IGN] image optique [Termes IGN] image SPOT [Termes IGN] logiciel libre [Termes IGN] Medicis [Termes IGN] MicMac [Termes IGN] mouvement de terrain [Termes IGN] séisme Résumé : (auteur) Image correlation is one of the most efficient techniques to determine horizontal ground displacements due to earthquakes, landslides, ice flows or sand dune migrations. Analyzing these deformations allows a better understanding of the causes and mechanisms of the events. By using sub-pixel correlation on before- and after-event ortho-images obtained from high resolution satellite images it is possible to compute the displacement field with high planimetric resolution. In this paper, we focus on measuring the ground displacements due to seismotectonic events. The three sub-pixel correlators used are: COSI-Corr – developed by Caltech, a free, closed-source correlator, dependent on commercial software (ENVI) and widely used by the geoscience community for measuring ground displacement; Medicis – developed by CNES, also a closed-source correlator capable of measuring this type of deformation; and MicMac – developed by IGN, the free open-source correlator we study and tune for measuring fine ground displacements. We measured horizontal ground deformation using these three correlators on SPOT images in three study cases: the 2001 Kokoxili earthquake, the 2005 dyke intrusion in the Afar depression and the 2008 Yutian earthquake. Numéro de notice : A2015-053 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.03.002 Date de publication en ligne : 03/04/2014 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.03.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75286 [article]

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Coastal digital surface model on low contrast images / Ana-Maria Rosu (2015)  

Public contenu dans ISPRS Geospatial Week 2015 / Clément Mallet (2015)   Titre : Coastal digital surface model on low contrast images Type de document : Article/Communication Auteurs : Ana-Maria Rosu, Auteur ; Michel Assenbaum, Auteur ; Ywenn de La Torre, Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 40-3/W3 Conférence : ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData 28/09/2015 03/10/2015 La Grande Motte France ISPRS OA Archives Importance : pp 307 - 312 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] contraste de couleurs [Termes IGN] image aérienne [Termes IGN] image captée par drone [Termes IGN] littoral [Termes IGN] MicMac [Termes IGN] modèle numérique de surface Résumé : (auteur) Coastal sandy environments are extremely dynamic and require regular monitoring that can easily be achieved by using an unmanned aerial system (UAS) including a drone and a photo camera. The acquired images have low contrast and homogeneous texture. Using these images and with very few, if any, ground control points (GCPs), it is difficult to obtain a digital surface model (DSM) by classical correlation and automatic interest points determination approach. A possible response to this problem is to work with enhanced, contrast filtered images. To achieve this, we use and tune the free open-source software MicMac. Numéro de notice : C2015-062 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-307-2015 Date de publication en ligne : 19/08/2015 En ligne : https://doi.org/10.5194/isprsarchives-XL-3-W3-307-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91907