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Integrated image matching and segmentation for 3D surface reconstruction in urban areas / Lei Ye in Photogrammetric Engineering & Remote Sensing, PERS, Vol 84 n° 3 (March 2018)
[article]
Titre : Integrated image matching and segmentation for 3D surface reconstruction in urban areas Type de document : Article/Communication Auteurs : Lei Ye, Auteur ; Bo Wu, Auteur Année de publication : 2018 Article en page(s) : pp 135 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement d'images
[Termes IGN] appariement dense
[Termes IGN] détection de partie cachée
[Termes IGN] mesure de similitude
[Termes IGN] reconstruction 3D
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] zone urbaineRésumé : (Auteur) High-resolution imagery, which features the advantages of high-quality imaging, a short revisit time, and lower costs, is an attractive option for 3D reconstruction applications. Photogrammetric 3D reconstruction requires reliable and dense image matching. In urban areas, however, image matching is particularly difficult because of the complexity of urban textures and the severe occlusion problems caused by buildings. This paper presents an integrated image matching and segmentation approach (named SATM+) for 3D reconstruction in urban areas. SATM+ is based on our existing self-adaptive triangulation-constrained matching (SATM) framework and incorporates three novel aspects to address image matching challenges in urban areas: (1) image segmentation-based occlusion filtering, (2) segment-adaptive similarity measurement to reduce matching ambiguity, and (3) local and regional dense matching propagation to generate reliable and dense matches. We performed an experimental analysis of two sets of high-resolution urban images, and the 3D point clouds generated using the proposed SATM+ were compared with airborne light detection and ranging (lidar) data and the point clouds generated using the semi-global matching (SGM) method. The results indicate that SATM+ can generate 3D point clouds with a geometric accuracy comparable to that of lidar data but a much higher point density. SATM+ performs similarly to SGM in relatively flat areas, but is superior in built-up areas. The proposed approach is a promising option for image-based 3D surface reconstruction in urban areas. Numéro de notice : A2018-137 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.84.3.135 Date de publication en ligne : 01/03/2018 En ligne : https://doi.org/10.14358/PERS.84.3.135 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89679
in Photogrammetric Engineering & Remote Sensing, PERS > Vol 84 n° 3 (March 2018) . - pp 135 - 148[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 105-2018031 RAB Revue Centre de documentation En réserve L003 Disponible Appariement automatique de données hétérogènes: textes, traces GPS et ressources géographiques / Amine Medad (2018)
contenu dans Actes de Conférence SAGEO 2018 - Spatial Analysis and GEOmatics, 6 au 9 novembre 2018 Montpellier, France / Maguelonne Teisseire (2018)
Titre : Appariement automatique de données hétérogènes: textes, traces GPS et ressources géographiques Type de document : Article/Communication Auteurs : Amine Medad, Auteur ; Mauro Gaio, Auteur ; Sébastien Mustière , Auteur Editeur : Montpellier : Centre de Coopération Internationale en recherche agronomique pour le Développement CIRAD Année de publication : 2018 Projets : CHOUCAS / Olteanu-Raimond, Ana-Maria Conférence : SAGEO 2018, Spatial Analysis and GEOmatics 06/11/2018 09/11/2018 Montpellier France Open Access Proceedings Importance : pp 41 - 48 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] appariement automatique
[Termes IGN] données hétérogènes
[Termes IGN] entité géographique
[Termes IGN] randonnée
[Termes IGN] recherche d'information
[Termes IGN] reconstruction d'itinéraire ou de trajectoire
[Termes IGN] toponyme
[Termes IGN] trace GPS
[Termes IGN] traitement du langage naturelRésumé : (auteur) Les travaux que nous présentons dans cet article sont réalisés dans le cadre du projet ANR Choucas. Nous proposons une approche pour l’appariement automatique de traces, de textes de description de randonnées et de ressources géographiques(gazetiers et bases de données géographiques). L’objectif de cet article est d’exposer les premiers éléments d’une méthodologie d’appariement automatique dont les trois étapes sont : l’annotation des traces GPS, l’identification des entités nommées spatiales dans des textes décrivant des itinéraires de randonnées, et la mise en correspondance des toponymes. Numéro de notice : C2018-102 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97348 Documents numériques
en open access
Appariement automatique de donnees heterogenes ... - pdf éditeurAdobe Acrobat PDF Stand-level wind damage can be assessed using diachronic photogrammetric canopy height models / Jean-Pierre Renaud in Annals of Forest Science, vol 74 n° 4 (December 2017)
[article]
Titre : Stand-level wind damage can be assessed using diachronic photogrammetric canopy height models Type de document : Article/Communication Auteurs : Jean-Pierre Renaud , Auteur ; Cédric Vega , Auteur ; Sylvie Durrieu, Auteur ; Jonathan Lisein , Auteur ; Magnussen, Steen, Auteur ; Philippe Lejeune, Auteur ; Meriem Fournier, Auteur Année de publication : 2017 Projets : FOR-WIND / Olteanu-Raimond, Ana-Maria Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] appariement dense
[Termes IGN] dommage matériel
[Termes IGN] hauteur des arbres
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] photogrammétrie
[Termes IGN] placette d'échantillonnage
[Termes IGN] semis de points
[Termes IGN] tempête
[Termes IGN] volume en bois
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Key message : Diachronic photogrammetric canopy height models can be used to quantify at a fine scale changes in dominant height and wood volume following storms. The regular renewal of aerial surveys makes this approach appealing for monitoring forest changes.
Context : The increasing availability of aerial photographs and the development of dense matching algorithms open up new possibilities to assess the effects of storm events on forest canopies.
Aims : The objective of this research is to assess the potential of diachronic canopy height models derived from photogrammetric point clouds (PCHM) to quantify changes in dominant height and wood volume of a broadleaved forest following a major storm.
Methods : PCHMs derived from aerial photographs acquired before and after a storm event were calibrated using 25 field plots to estimate dominant height and volume using various modeling approaches. The calibrated models were combined with a reference damage maps to estimate both the within-stand damage variability, and the amount of volume impacted.
Results : Dominant height was predicted with a root mean squared error (RMSE) of 4%, and volume with RMSEs ranging from 24 to 32% according to the type of model. The volume impacted by storm was in the range of 42–76%. Overall, the maps of dominant height changes provided more details about within-stand damage variability than conventional photointerpretation do.
Conclusion : The study suggests a promising potential for exploiting PCHM in pursuit of a rapid localization and quantification of wind-throw damages, given an adapted sampling design to calibrate models.Numéro de notice : A2017-733 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-017-0669-3 En ligne : https://doi.org/10.1007/s13595-017-0669-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88546
in Annals of Forest Science > vol 74 n° 4 (December 2017)[article]Documentation of heritage buildings using close-range UAV images: dense matching issues, comparison and case studies / Arnadi Murtiyoso in Photogrammetric record, vol 32 n° 159 (September 2017)
[article]
Titre : Documentation of heritage buildings using close-range UAV images: dense matching issues, comparison and case studies Type de document : Article/Communication Auteurs : Arnadi Murtiyoso, Auteur ; Pierre Grussenmeyer, Auteur Année de publication : 2017 Article en page(s) : pp 206 - 229 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] appariement dense
[Termes IGN] capteur aérien
[Termes IGN] drone
[Termes IGN] image aérienne
[Termes IGN] patrimoine immobilier
[Termes IGN] photogrammétrie métrologique
[Termes IGN] précision centimétrique
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] structure-from-motionRésumé : (Auteur) Three-dimensional (3D) documentation of heritage buildings has long employed both image-based and range-based techniques. Unmanned aerial vehicles (UAVs) provide a particular advantage for image-based techniques in acquiring aerial views, which are difficult to attain using classical terrestrial-based methods. The technological development of optical sensors and dense matching algorithms also complement existing photogrammetric workflows for the documentation of heritage objects. In this paper, fundamental concepts in photogrammetry and 3D reconstruction based on structure from motion (SfM) will be briefly reviewed. Two case studies were performed using two types of UAVs, one being a state-of-the-art platform dedicated to obtaining close-range images. Comparisons with laser scanning data were performed and several issues regarding the aerial triangulation and dense matching results were assessed. The results show that although the dense matching of these UAV images may generate centimetre-level precision, a further increase in precision is often hampered by the quality of the onboard sensor. Numéro de notice : A2017-576 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12197 En ligne : http://dx.doi.org/10.1111/phor.12197 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86712
in Photogrammetric record > vol 32 n° 159 (September 2017) . - pp 206 - 229[article]Trajectory-based place-recognition for efficient large scale localization / Simon Lynen in International journal of computer vision, vol 124 n° 1 (August 2017)
[article]
Titre : Trajectory-based place-recognition for efficient large scale localization Type de document : Article/Communication Auteurs : Simon Lynen, Auteur ; Michael Bosse, Auteur ; Roland Siegwart, Auteur Année de publication : 2017 Article en page(s) : pp 49 – 64 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] alignement semi-dirigé
[Termes IGN] analyse comparative
[Termes IGN] appariement automatique
[Termes IGN] lieu géométrique
[Termes IGN] précision de localisation
[Termes IGN] reconnaissance automatiqueRésumé : (auteur) Place recognition is a core competency for any visual simultaneous localization and mapping system. Identifying previously visited places enables the creation of globally accurate maps, robust relocalization, and multi-user mapping. To match one place to another, most state-of-the-art approaches must decide a priori what constitutes a place, often in terms of how many consecutive views should overlap, or how many consecutive images should be considered together. Unfortunately, such threshold dependencies limit their generality to different types of scenes. In this paper, we present a placeless place recognition algorithm using a novel match-density estimation technique that avoids heuristically discretizing the space. Instead, our approach considers place recognition as a problem of continuous matching between image streams, automatically discovering regions of high match density that represent overlapping trajectory segments. The algorithm uses well-studied statistical tests to identify the relevant matching regions which are subsequently passed to an absolute pose algorithm to recover the geometric alignment. We demonstrate the efficiency and accuracy of our methodology on three outdoor sequences, including a comprehensive evaluation against ground-truth from publicly available datasets that shows our approach outperforms several state-of-the-art algorithms for place recognition. Furthermore we compare our overall algorithm to the currently best performing system for global localization and show how we outperform the approach on challenging indoor and outdoor datasets. Numéro de notice : A2017-399 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-016-0947-9 En ligne : https://doi.org/10.1007/s11263-016-0947-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85941
in International journal of computer vision > vol 124 n° 1 (August 2017) . - pp 49 – 64[article]Automatic illumination-invariant image-to-geometry registration in outdoor environments / Christian Kehl in Photogrammetric record, vol 32 n° 158 (June - july 2017)PermalinkA method for matching crowd-sourced and authoritative geospatial data / Heshan Du in Transactions in GIS, vol 21 n° 2 (April 2017)PermalinkMicMac – a free, open-source solution for photogrammetry / Ewelina Rupnik in Open Geospatial Data, Software and Standards, vol 2 (2017)PermalinkTwo heads are better than one / Brian Curtiss in GEO: Geoconnexion international, vol 15 n° 8 (September 2016)PermalinkGeometrical consistency voting strategy for outlier detection in image matching / Luping Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)PermalinkAccurate affine invariant image matching using oriented least square / Amin Sedaghat in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)PermalinkAnalysis of different methods for 3D reconstruction of natural surfaces from parallel-axes UAV images / Annette Eltner in Photogrammetric record, vol 30 n° 151 (September - November 2015)PermalinkLocating control points in aerial images with a multi-scale approach based on terrestrial image patches / Adilson Berveglieri in Photogrammetric record, vol 30 n° 149 (March - May 2015)PermalinkDetection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources / Stefan Ivanovic (2015)PermalinkAssociation-matrix-based sample consensus approach for automated registration of terrestrial laser scans using linear features / Kaleel Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 11 (November 2014)Permalink