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Autonomous ortho-rectification of very high resolution imagery using SIFT and genetic algorithm / Pramod Kumar Konugurthi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 5 (May 2016)
[article]
Titre : Autonomous ortho-rectification of very high resolution imagery using SIFT and genetic algorithm Type de document : Article/Communication Auteurs : Pramod Kumar Konugurthi, Auteur ; Raghavendra Kune, Auteur ; Ravi Nooka, Auteur ; Venkatraman Sarma, Auteur Année de publication : 2016 Article en page(s) : pp 377 - 388 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] algorithme génétique
[Termes IGN] appariement d'images
[Termes IGN] chaîne de traitement
[Termes IGN] image à très haute résolution
[Termes IGN] orthorectification
[Termes IGN] point d'appui
[Termes IGN] SIFT (algorithme)Résumé : (Auteur) Ortho-rectification of very high resolution imagery from agile platforms using Rigorous Sensor Model / Rational Functional Model is quite challenging and demands a fair amount of interactivity in Ground Control Point (GCP) identification/selection for refining the model and for final product evaluation. The paper proposes achieving complete automation in the ortho-rectification process by eliminating all the interactive components, and incorporating fault tolerance mechanisms within the model to make the process robust and reliable. The key aspects proposed in this paper are: two stage Scale Invariant Feature Transform (SIFT) based matching to obtain a large numbers of checkpoints using much coarser resolution images such as Landsat/ETM+, followed by a GA to select the right combination of minimal GCPS based on minimizing Root Mean Square Error (RMSE) and maximizing the area covered under GCPS, and finally, a decision rule based product evaluation to make the process operate in an "autonomous closed loop mode". The method is generic and has been tested on hundreds of Cartosat-1/2 images, and has achieved above 90% reliability with sub-pixel relative error of reference data. Numéro de notice : A2016-412 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.5.377 En ligne : http://dx.doi.org/10.14358/PERS.82.5.377 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81279
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 5 (May 2016) . - pp 377 - 388[article]Recent developments in large-scale tie-point matching / Wilfried Hartmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
[article]
Titre : Recent developments in large-scale tie-point matching Type de document : Article/Communication Auteurs : Wilfried Hartmann, Auteur ; Michal Havlena, Auteur ; Konrad Schindler, Auteur Année de publication : 2016 Article en page(s) : pp 47 – 62 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chaîne de traitement
[Termes IGN] géoréférencement direct
[Termes IGN] point d'appui
[Termes IGN] points homologuesRésumé : (auteur) Feature matching – i.e. finding corresponding point features in different images to serve as tie-points for camera orientation – is a fundamental step in photogrammetric 3D reconstruction. If the input image set is large and unordered, which is becoming increasingly common with the spread of photogrammetric recording to untrained user groups and even crowd-sourced geodata collection, the bottleneck of the reconstruction pipeline is the matching step, for two reasons. (i) Image acquisition without detailed viewpoint planning requires a denser set of viewpoints with larger overlaps, to ensure appropriate coverage of the object of interest and to guarantee sufficient redundancy for reliable reconstruction in spite of the unoptimised network geometry. As a consequence, there is a large number of images with overlapping viewfields, resulting in a more expensive matching step than, say, a regular block geometry. (ii) In the absence of a carefully pre-planned recording sequence it is not even known which images overlap. One thus faces the even bigger challenge to determine which pairs of images even can have tie-points and should therefore be fed into the matching procedure. In this paper we attempt a systematic survey of the state-of-the-art for tie-point generation in unordered image collections, including recent developments for very large image sets. Numéro de notice : A2016-544 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.09.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81690
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 47 – 62[article]
contenu dans EuroSDR contributions to ISPRS Congress XXIII, 12 - 19 July 2016, Special Session 12 – EuroSDR Prague, Czech Republic / European Spatial Data Research EuroSDR (02/2017)
Titre : Automated generalisation within NMAS in 2016 Type de document : Article/Communication Auteurs : Jantien E. Stoter, Auteur ; Vincent Van Altena, Auteur ; Marc Post, Auteur ; Dirk Burghardt, Auteur ; Cécile Duchêne , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2016 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 41-B4 Conférence : ISPRS 2016, Commission 4, 23th international congress 12/07/2016 19/07/2016 Prague République tchèque ISPRS OA Archives Commission 4 Importance : pp 647 - 652 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données multi-représentation
[Termes IGN] chaîne de traitement
[Termes IGN] état de l'art
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] organisme cartographique national
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Commission on Generalisation and Multirepresentation of the International Cartographic Association and the Commission on Modelling and Processing of the European Spatial Data Research. This paper reports about the workshop outcomes. It shows that, most NMAs have implemented a certain form of automation in their workflows, varying from generalisation of certain features while still maintaining a manual workflow; semiautomated editing and generalisation to a fully automated procedure. Numéro de notice : C2016-015 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLI-B4-647-2016 Date de publication en ligne : 14/06/2016 En ligne : http://doi.org/10.5194/isprs-archives-XLI-B4-647-2016 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84320 Integrating expressive rendering techniques in a GIS cartographic pipeline / Bertrand Duménieu (2016)
Titre : Integrating expressive rendering techniques in a GIS cartographic pipeline Type de document : Article/Communication Auteurs : Bertrand Duménieu , Auteur ; Sidonie Christophe , Auteur Editeur : Association of Geographic Information Laboratories in Europe AGILE Année de publication : 2016 Projets : Mapstyle / Christophe, Sidonie Conférence : AGILE 2016, 19th International Conference on Geographic Information Science 14/06/2016 17/06/2016 Helsinki Finlande open access proceedings Importance : 5 p. Format : 21 x 30 cm Note générale : bibliographie
Workshop 2016 Code Loves Maps: Cartographically Oriented Programming EnvironmentsLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] chaîne de traitement
[Termes IGN] effet d'ombre
[Termes IGN] rendu (géovisualisation)
[Termes IGN] rendu expressif
[Termes IGN] style cartographique
[Termes IGN] symbology encodingRésumé : (auteur) This presentation paper resumes recent results on an extension of the cartographic pipeline in GIS to integrate expressive rendering techniques, in order to increase the aesthetics and expressivity of maps. They are implemented in the form of shaders which can be called and parameterized from a style file following the OGC style specifications. We propose an extension of the OGC Symbology Encoding specification. Numéro de notice : C2016-055 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : Poster-avec-CL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91906 Documents numériques
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Integrating expressive rendering... - pdf auteurAdobe Acrobat PDF
Titre : Map style formalization: Rendering techniques extension for cartography Type de document : Article/Communication Auteurs : Sidonie Christophe , Auteur ; Bertrand Duménieu , Auteur ; Jérémie Turbet, Auteur ; Charlotte Hoarau , Auteur ; Nicolas Mellado, Auteur ; Jérémie Ory , Auteur ; Hugo Loi, Auteur ; Antoine Masse , Auteur ; Benoit Arbelot, Auteur ; Romain Vergne, Auteur ; Mathieu Brédif , Auteur ; Thomas Hurtut, Auteur ; Joëlle Thollot, Auteur ; David Vanderhaeghe, Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2016 Projets : Mapstyle / Christophe, Sidonie Conférence : Expressive 2016, Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering 07/05/2016 09/05/2016 Lisbonne Portugal Proceedings ACM Importance : 12 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] chaîne de traitement
[Termes IGN] conception cartographique
[Termes IGN] sémiologie graphique
[Termes IGN] style cartographique
[Termes IGN] Styled Layer Descriptor
[Termes IGN] symbology encoding
[Termes IGN] texturage
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Cartographic design requires controllable methods and tools to produce maps that are adapted to users’ needs and preferences. The formalized rules and constraints for cartographic representation come mainly from the conceptual framework of graphic semiology. Most current Geographical Information Systems (GIS) rely on the Styled Layer Descriptor and Semiology Encoding (SLD/SE) specifications which provide an XML schema describing the styling rules to be applied on geographic data to draw a map. Although this formalism is relevant for most usages in cartography, it fails to describe complex cartographic and artistic styles. In order to overcome these limitations, we propose an extension of the existing SLD/SE specifications to manage extended map stylizations, by the means of controllable expressive methods. Inspired by artistic and cartographic sources (Cassini maps, mountain maps, artistic movements, etc.), we propose to integrate into our system three main expressive methods: linear stylization, patch-based region filling and vector texture generation. We demonstrate how our pipeline allows to personalize map rendering with expressive methods in several examples. Numéro de notice : C2016-060 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl En ligne : https://hal.archives-ouvertes.fr/hal-01317403/document Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91919 Mise en place de procédures automatiques en vue d’accélérer la production des plans topographiques au sein de l’entreprise Techni Drone / Kévin Javerliat (2016)PermalinkAutomatic orthorectification of high-resolution optical satellite images using vector roads / Aleš Marsetič in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)PermalinkRoad orthophoto/DTM generation from mobile laser scanning / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W5 (October 2015)PermalinkTarget identification in terrestrial laser scanning / Xuming Ge in Survey review, vol 47 n° 341 (March 2015)PermalinkModalités de représentation en 3D de données issues du SIG2D, pour la conception et la simulation / Olivier Jest (2015)PermalinkAbstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)PermalinkAmélioration de la localisation 3D de données laser terrestre à l'aide de cartes 2D ou modèles 3D / Fabrice Monnier (2014)PermalinkAnalyse sémantique de nuages de points 3D dans le milieu urbain : sol, façades, objets urbains et accessibilité / Andres Felipe Serna Morales (2014)PermalinkGénération de modèles numériques de surface et détection de changements 3D à partir d'imagerie satellite stéréoscopique très haute résolution / Cyrielle Guerin (2014)PermalinkIndividual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery / Yuchu Qin (2014)PermalinkMise à jour d’une base de données d’occupation du sol à grande échelle en milieux naturels à partir d’une image satellite THR / Adrien Gressin (2014)PermalinkPermalinkPhotographer-friendly work-flows for imaged-based modelling of heritage artefacts / Nicolas Martin-Beaumont (2013)PermalinkWeb-based geoprocessing and workflow creation for generating and providing remote sensing products / J. Eberle in Geomatica, vol 66 n° 1 (March 2012)PermalinkModeling and Simulation in Engineering, ch. 1. Image-laser fusion for in situ 3D modeling of complex environments: A 4D panoramic-driven approach / Daniela Craciun (2012)PermalinkRecent improvements in DORIS data processing at IGN in view of ITRF2008, the IGNWD08 Solution / Pascal Willis (2012)PermalinkGenerating virtual 3D model of urban street facades by fusing terrestrial multi-source data / Karim Hammoudi (2011)PermalinkPermalinkExtraction et reconstruction des bâtiments en milieu urbain à partir d’images satellitaires optiques et radar à haute résolution / Hélène Sportouche (2010)PermalinkPermalink