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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
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More surface detail with One-Two-Pixel Matching - pdf Archives ouvertes HALAdobe Acrobat PDF A vélo au travers des Andes, pour OpenStreetMap / Anonyme in Géomatique expert, n° 126 (janvier - février 2019)
[article]
Titre : A vélo au travers des Andes, pour OpenStreetMap Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2019 Article en page(s) : pp 32 - 36 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] bicyclette
[Termes IGN] collecte de données
[Termes IGN] contributeur
[Termes IGN] Cordillère des Andes
[Termes IGN] données localisées des bénévoles
[Termes IGN] image terrestre
[Termes IGN] Mapillary
[Termes IGN] OpenStreetMapRésumé : (Auteur) Alban Vivert a réalisé l’été dernier un voyage très particulier : avec sa simple bicyclette, baptisée la « poderosa » en hommage à Che Guevara, il a, tout comme lui, entrepris de parcourir une partie de l’Amérique latine. Mais avec un objectif différent : collecter le plus de photographies et d’informations géographiques possibles pendant son voyage, et les reverser sur Mapillary et Open Street Map. Numéro de notice : A2019-297 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93263
in Géomatique expert > n° 126 (janvier - février 2019) . - pp 32 - 36[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P002120 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds / Xiang Gao in ISPRS Journal of photogrammetry and remote sensing, vol 143 (September 2018)
[article]
Titre : Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds Type de document : Article/Communication Auteurs : Xiang Gao, Auteur ; Shuhan Shen, Auteur ; Yang Zhou, Auteur ; Hainan Cui, Auteur ; Lingjie Zhu, Auteur ; Zhanyi Hu, Auteur Année de publication : 2018 Article en page(s) : pp 72 - 84 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] architecture
[Termes IGN] données localisées 3D
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] image terrestre
[Termes IGN] modèle 3D du site
[Termes IGN] patrimoine immobilier
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] templeRésumé : (Auteur) Ancient Chinese architecture 3D digitalization and documentation is a challenging task for the image based modeling community due to its architectural complexity and structural delicacy. Currently, an effective approach to ancient Chinese architecture 3D reconstruction is to merge the two point clouds, separately obtained from ground and aerial images by the SfM technique. There are two understanding issues should be specially addressed: (1) it is difficult to find the point matches between the images from different sources due to their remarkable variations in viewpoint and scale; (2) due to the inevitable drift phenomenon in any SfM reconstruction process, the resulting two point clouds are no longer strictly related by a single similarity transformation as it should be theoretically. To address these two issues, a new point cloud merging method is proposed in this work. Our method has the following characteristics: (1) the images are matched by leveraging sparse mesh based image synthesis; (2) the putative point matches are filtered by geometrical consistency check and geometrical model verification; and (3) the two point clouds are merged via bundle adjustment by linking the ground-to-aerial tracks. Extensive experiments show that our method outperforms many of the state-of-the-art approaches in terms of ground-to-aerial image matching and point cloud merging. Numéro de notice : A2018-355 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.04.023 Date de publication en ligne : 08/05/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.04.023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90589
in ISPRS Journal of photogrammetry and remote sensing > vol 143 (September 2018) . - pp 72 - 84[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018091 RAB Livre Centre de documentation En réserve L003 Disponible 081-2018093 DEP-EXM Livre LASTIG Dépôt en unité Exclu du prêt 081-2018092 DEP-EAF Livre Nancy Dépôt en unité Exclu du prêt A fully automatic approach to register mobile mapping and airborne imagery to support the correction of plateform trajectories in GNSS-denied urban areas / Phillipp Jende in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)
[article]
Titre : A fully automatic approach to register mobile mapping and airborne imagery to support the correction of plateform trajectories in GNSS-denied urban areas Type de document : Article/Communication Auteurs : Phillipp Jende, Auteur ; Francesco Nex, Auteur ; Markus Gerke, Auteur ; M. George Vosselman, Auteur Année de publication : 2018 Article en page(s) : pp 86 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement géométrique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] filtre de Wallis
[Termes IGN] GNSS assisté pour la navigation
[Termes IGN] image aérienne
[Termes IGN] image terrestre
[Termes IGN] orientation d'image
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] précision décimétrique
[Termes IGN] système de numérisation mobile
[Termes IGN] zone urbaineRésumé : (Auteur) Mobile Mapping (MM) solutions have become a significant extension to traditional data acquisition methods over the last years. Independently from the sensor carried by a platform, may it be laser scanners or cameras, high-resolution data postings are opposing a poor absolute localisation accuracy in urban areas due to GNSS occlusions and multipath effects. Potentially inaccurate position estimations are propagated by IMUs which are furthermore prone to drift effects. Thus, reliable and accurate absolute positioning on a par with MM's high-quality data remains an open issue. Multiple and diverse approaches have shown promising potential to mitigate GNSS errors in urban areas, but cannot achieve decimetre accuracy, require manual effort, or have limitations with respect to costs and avail-ability. This paper presents a fully automatic approach to support the correction of MM imaging data based on correspondences with airborne nadir images. These correspondences can be employed to correct the MM plat-form's orientation by an adjustment solution. Unlike MM as such, aerial images do not suffer from GNSS oc-clusions, and their accuracy is usually verified by employing well-established methods using ground control points. However, a registration between MM and aerial images is a non-standard matching scenario, and requires several strategies to yield reliable and accurate correspondences. Scale, perspective and content strongly vary between both image sources, thus traditional feature matching methods may fail. To this end, the registration process is designed to focus on common and clearly distinguishable elements, such as road markings, manholes, or kerbstones. With a registration accuracy of about 98%, reliable tie information between MM and aerial data can be derived. Even though, the adjustment strategy is not covered in its entirety in this paper, accuracy results after adjustment will be presented. It will be shown that a decimetre accuracy is well achievable in a real data test scenari Numéro de notice : A2018-285 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.04.017 Date de publication en ligne : 30/04/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.04.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90397
in ISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 86 - 99[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018071 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018073 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018072 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt A light and faster regional convolutional neural network for object detection in optical remote sensing images / Peng Ding in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)
[article]
Titre : A light and faster regional convolutional neural network for object detection in optical remote sensing images Type de document : Article/Communication Auteurs : Peng Ding, Auteur ; Ye Zhang, Auteur ; Wei-Jian Deng, Auteur ; Ping Jia, Auteur ; Arjan Kuijper, Auteur Année de publication : 2018 Article en page(s) : pp 208 - 218 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage profond
[Termes IGN] classification orientée objet
[Termes IGN] détection d'objet
[Termes IGN] image aérienne
[Termes IGN] image terrestre
[Termes IGN] représentation multiple
[Termes IGN] réseau neuronal convolutifRésumé : (auteur) Detection of objects from satellite optical remote sensing images is very important for many commercial and governmental applications. With the development of deep convolutional neural networks (deep CNNs), the field of object detection has seen tremendous advances. Currently, objects in satellite remote sensing images can be detected using deep CNNs. In general, optical remote sensing images contain many dense and small objects, and the use of the original Faster Regional CNN framework does not yield a suitably high precision. Therefore, after careful analysis we adopt dense convoluted networks, a multi-scale representation and various combinations of improvement schemes to enhance the structure of the base VGG16-Net for improving the precision. We propose an approach to reduce the test-time (detection time) and memory requirements. To validate the effectiveness of our approach, we perform experiments using satellite remote sensing image datasets of aircraft and automobiles. The results show that the improved network structure can detect objects in satellite optical remote sensing images more accurately and efficiently. Numéro de notice : A2018-288 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.05.005 Date de publication en ligne : 14/05/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.05.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90403
in ISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 208 - 218[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018071 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018073 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018072 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Advancement of close range photogrammetry with a portable panoramic image mapping system (PPIMS) / Yung-Chuan Chen in Photogrammetric record, vol 33 n° 162 (June 2018)PermalinkOn a novel 360° panoramic stereo mobile mapping system / Stefan Blaser in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 6 (juin 2018)PermalinkIntegration of aerial oblique imagery and terrestrial imagery for optimized 3D modeling in urban areas / Bo Wu in ISPRS Journal of photogrammetry and remote sensing, vol 139 (May 2018)PermalinkOn the production of semantic and textured 3D meshes of large scale urban environments from mobile mapping images and LIDAR scans / Mohamed Boussaha (2018)PermalinkRectified feature matching for spherical panoramic images / Tzu-Yi Chuang in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 1 (January 2018)PermalinkPermalinkSuivi et conservation du patrimoine historique et culturel / Jocelyn Le Maître (2018)PermalinkAn effective spherical panoramic LoD model for a mobile street view service / Xianxiong Liu in Transactions in GIS, vol 21 n° 5 (October 2017)PermalinkAutomatic shadow detection in aerial and terrestrial images / Vander Luis de Souza Freitas in Boletim de Ciências Geodésicas, vol 23 n° 4 (oct - dec 2017)PermalinkVisibility widgets for unveiling occluded data in 3D terrain visualization / Martin Röhlig in Journal of Visual Languages and Computing, vol 42 (October 2017)Permalink