Détail de l'auteur
Auteur Ewelina Rupnik
Commentaire :
Autorités liées :
idHAL :
ewelina-rupnik
idRef :
autre URL :
ORCID :
Scopus :
G. Scholar :
DBLP URL :
|
Documents disponibles écrits par cet auteur (36)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Titre : More surface detail with one-two-pixel matching Type de document : Rapport Auteurs : Ewelina Rupnik , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2019 Importance : 16 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] appariement d'histogramme
[Termes IGN] appariement de points
[Termes IGN] appariement semi-global
[Termes IGN] corrélation croisée normalisée
[Termes IGN] corrélation par régions de niveaux de gris
[Termes IGN] géosciences
[Termes IGN] image captée par drone
[Termes IGN] image Pléiades
[Termes IGN] image SPOT 7
[Termes IGN] image terrestre
[Termes IGN] MicMac
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) Photogrammetrically derived Digital Surface Models have been widely adopted in geoscientific applications such as mapping and change detection across volcanic surfaces, glaciers, areas of seismic activity, forests, river landforms etc. Resolution of the reconstructed surface is crucial as more accurate information enables more profound understanding of the phenomena. With this objective in mind, the research presented here proposes a new matching cost function that produces surfaces of enhanced resolution with respect to the gold standard: the window-based semi-global matching technique. We evaluate the algorithm on different image datasets spanning various acquisition geometries, radiometric qualities and ground sample distance sizes. In particular , results on Earth satellites (SPOT-7, Pléiades), extraterres-trial (Chang'E3 moon landing), aerial and terrestrial acquisitions are shown. The implementation of the method is available in MicMac-the free open-source software for photogrammetry. I. INTRODUCTION Digital surface model (DSM or photogrammetric DSM) generation using dense image matching is an accepted technique across the geoscience communities. Next to other competitive techniques such as LiDAR or radar, image-based reconstruction produces denser 3D information, it is cost-effective and richer as it includes photometric observations that allow, for example, 3D change detection or classification. Photogrammetric DSMs in geoscience applications can be generated from terrestrial images, unmanned aerial vehicle (UAV) acquisitions or high-resolution optical satellite imaging. a) Terrestrial and UAV applications: Modelling of surface roughness parameters [1]; mapping volcanic surfaces [2]; and measuring glaciers' microrelief progression [3] are some of many examples of terrestrial applications carried out with consumer grade cameras and little expert knowledge. UAV-based surveys are increasingly presented as an alternative to terrestrial surveys due to their larger reach, their ease of deployment and reduced operational cost. With respect to resolution, UAV surveys are a compromise between high-resolution close-range and moderate-resolution satellite imaging. The success of the UAV technology is reflected in numerous publications which show that UAV-collected imagery can: enable modelling of forest canopy height [4]; determine the rate and extent of landslide movements [5]; quantify coastal erosion [6], [7] and deposition processes [8] in aeolian research; map ultrafine (i.e. centimetric) tectonic faults in tectonic research [9]; or be employed in repeated surveys of the ice-sheet masses in glaciology [10]. b) Earth satellite and extraterrestrial applications: With the available optical satellite data provided by modern (e.g. Pléiades 1A/B, SPOT-satellites, QuickBird, WorldView 2/3/4, CubeSat) or older satellites (e.g. CartoSat, ASTER), we can Numéro de notice : 26221 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Rapport de recherche nature-HAL : RappRech DOI : sans En ligne : https://hal.archives-ouvertes.fr/hal-02371337 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94223 Documents numériques
en open access
More surface detail with One-Two-Pixel Matching - pdf Archives ouvertes HALAdobe Acrobat PDF GNSS-assisted integrated sensor orientation with sensor pre-calibration for accurate corridor mapping / Yilin Zhou in Sensors, vol 18 n° 9 (September 2018)
[article]
Titre : GNSS-assisted integrated sensor orientation with sensor pre-calibration for accurate corridor mapping Type de document : Article/Communication Auteurs : Yilin Zhou , Auteur ; Ewelina Rupnik , Auteur ; Paul-Henri Faure, Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2018 Projets : 1-Pas de projet / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] chambre métrique
[Termes IGN] compensation par faisceaux
[Termes IGN] drone
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] orientation du capteur intégrée
[Termes IGN] point d'appui
[Termes IGN] récepteur GNSS
[Termes IGN] zone tamponRésumé : (auteur) With the development of unmanned aerial vehicles (UAVs) and global navigation satellite system (GNSS), the accurate camera positions at exposure can be known and the GNSS-assisted bundle block adjustment (BBA) approach is possible for integrated sensor orientation (ISO). This study employed ISO approach for camera pose determination with the objective of investigating the impact of a good sensor pre-calibration on a poor acquisition geometry. Within the presented works, several flights were conducted on a dike by a small UAV embedded with a metric camera and a GNSS receiver. The multi-lever-arm estimation within the BBA procedure makes it possible to merge image blocks of different configurations such as nadir and oblique images without physical constraints on camera and GNSS antenna positions. The merged image block achieves a better accuracy and the sensor self-calibrated well. The issued sensor calibration is then applied to a less preferable acquisition configuration and the accuracy is significantly improved. For a corridor acquisition scene of about 600 m , a centimetric accuracy is reached with one GCP. With the provided sensor pre-calibration, an accuracy of 3.9 cm is achieved without any GCP. Numéro de notice : A2018-388 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s18092783 Date de publication en ligne : 24/08/2018 En ligne : https://doi.org/10.3390/s18092783 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90803
in Sensors > vol 18 n° 9 (September 2018)[article]Second iteration of photogrammetric processing to refine image orientation with improved tie-points / Truong Giang Nguyen in Sensors, vol 18 n° 7 (July 2018)
[article]
Titre : Second iteration of photogrammetric processing to refine image orientation with improved tie-points Type de document : Article/Communication Auteurs : Truong Giang Nguyen , Auteur ; Jean-Michaël Muller , Auteur ; Ewelina Rupnik , Auteur ; Christian Thom , Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2018 Projets : 1-Pas de projet / Article en page(s) : n° 2150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] compensation par faisceaux
[Termes IGN] données localisées 3D
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] image captée par drone
[Termes IGN] itération
[Termes IGN] orientation d'image
[Termes IGN] points homologues
[Termes IGN] reconstruction 3D
[Termes IGN] semis de pointsRésumé : (auteur) Photogrammetric processing is available in various software solutions and can easily deliver 3D pointclouds as accurate as 1 pixel. Certain applications, e.g., very accurate shape reconstruction in industrial metrology or change detection for deformation studies in geosciences, require results of enhanced accuracy. The tie-point extraction step is the opening in the photogrammetric processing chain and therefore plays a key role in the quality of the subsequent image orientation, camera calibration and 3D reconstruction. Improving its precision will have an impact on the obtained 3D. In this research work we describe a method which aims at enhancing the accuracy of image orientation by adding a second iteration photogrammetric processing. The result from the classical processing is used as a priori information to guide the extraction of refined tie-points of better photogrammetric quality. Evaluated on indoor and UAV acquisitions, the proposed methodology shows a significant improvement on the obtained 3D point accuracy. Numéro de notice : A2018-390 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s18072150 Date de publication en ligne : 04/07/2018 En ligne : https://doi.org/10.3390/s18072150 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90807
in Sensors > vol 18 n° 7 (July 2018) . - n° 2150[article]Documents numériques
en open access
Second iteration of photogrammetric processing ... - pdf éditeurAdobe Acrobat PDF 3D reconstruction from multi-view VHR-satellite images in MicMac / Ewelina Rupnik in ISPRS Journal of photogrammetry and remote sensing, vol 139 (May 2018)
[article]
Titre : 3D reconstruction from multi-view VHR-satellite images in MicMac Type de document : Article/Communication Auteurs : Ewelina Rupnik , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Arthur Delorme, Auteur Année de publication : 2018 Projets : TOSCA / Article en page(s) : pp 201 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] carte de profondeur
[Termes IGN] compensation par bloc
[Termes IGN] image Pléiades-HR
[Termes IGN] image Worldview
[Termes IGN] MicMac
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] programmation dynamiqueRésumé : (Auteur) This work addresses the generation of high quality digital surface models by fusing multiple depths maps calculated with the dense image matching method. The algorithm is adapted to very high resolution multi-view satellite images, and the main contributions of this work are in the multi-view fusion. The algorithm is insensitive to outliers, takes into account the matching quality indicators, handles non-correlated zones (e.g. occlusions), and is solved with a multi-directional dynamic programming approach. No geometric constraints (e.g. surface planarity) or auxiliary data in form of ground control points are required for its operation. Prior to the fusion procedures, the RPC geolocation parameters of all images are improved in a bundle block adjustment routine. The performance of the algorithm is evaluated on two VHR (Very High Resolution)-satellite image datasets (Pléiades, WorldView-3) revealing its good performance in reconstructing non-textured areas, repetitive patterns, and surface discontinuities. Numéro de notice : A2018-117 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.03.016 Date de publication en ligne : 20/03/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.03.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89553
in ISPRS Journal of photogrammetry and remote sensing > vol 139 (May 2018) . - pp 201 - 211[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2018051 RAB Revue Centre de documentation En réserve L003 Disponible Contextual classification using photometry and elevation data for damage detection after an earthquake event / Ewelina Rupnik in European journal of remote sensing, vol 51 n° 1 (2018)
[article]
Titre : Contextual classification using photometry and elevation data for damage detection after an earthquake event Type de document : Article/Communication Auteurs : Ewelina Rupnik , Auteur ; Francesco Nex, Auteur ; Isabella Toschi, Auteur ; Fabio Remondino, Auteur Année de publication : 2018 Projets : 3-projet - voir note / Article en page(s) : pp 543 - 557 Note générale : bibliographie
This work was supported by RAPIDMAP, a CONCERT-Japan project, i.e. a European Union (EU) funded project in the International Cooperation Activities under the Capacities Programme the 7th Framework Programme for Research and Technology Development. https://cordis.europa.eu/project/id/266604/reportingLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] cartographie d'urgence
[Termes IGN] chaîne de traitement
[Termes IGN] champ aléatoire conditionnel
[Termes IGN] classification contextuelle
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] détection de changement
[Termes IGN] dommage matériel
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface
[Termes IGN] orthoimage
[Termes IGN] photométrie
[Termes IGN] prise en compte du contexte
[Termes IGN] zone urbaineRésumé : (auteur) This research presents a processing workflow to automatically find damaged building areas in an urban context. The input data requirements are high-resolution multi-view images, acquired from airborne platform. The elevations are derived from a dense surface model generated with photogrammetric methods. With the principal objective of rapid response in emergency situations, two different processing roadmaps are proposed, semi-supervised and unsupervised. Both of them follow a two-step workflow of building detection and building health estimation. Optionally, cadastral layers may serve as a-priori knowledge on building location. The semi-supervised approach involves a data training step, while the unsupervised approach exploits the similarities and dissimilarities between sets of features calculated over the detected buildings. The change detection task is formulated as a classification task defined over a conditional random field. The algorithms are evaluated using two datasets (Vexcel and Midas cameras) and results are compared with ground truth data and specific metrics. Numéro de notice : A2018-664 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/22797254.2018.1458584 Date de publication en ligne : 16/05/2018 En ligne : https://doi.org/10.1080/22797254.2018.1458584 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94250
in European journal of remote sensing > vol 51 n° 1 (2018) . - pp 543 - 557[article]PermalinkEvaluation of photogrammetric block orientation using quality descriptors from statistically filtered tie points / Alessio Calantropio (2018)PermalinkPermalinkPermalinkPermalinkPanorama de la recherche à l'IGN sur la localisation d'une caméra à partir d'images / Nathan Piasco (2018)PermalinkPermalinkImproving FOSS photogrammetric workflows for processing large image datasets / Oscar Martinez-Rubi in Open Geospatial Data, Software and Standards, vol 2 (2017)PermalinkMicMac – a free, open-source solution for photogrammetry / Ewelina Rupnik in Open Geospatial Data, Software and Standards, vol 2 (2017)PermalinkRefined satellite image orientation in the free open-source photogrammetric tools Apero/MicMac / Ewelina Rupnik in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol III-1 (July 2016)Permalink
Editor in chief of the journal Revue française de Photogrammétrie et Télédétection