Détail de l'éditeur
International Society for Photogrammetry and Remote Sensing ISPRS
Commentaire :
ISP fondée en 1910 devient ISPRS en 1980
Collections rattachées :
Autorités liées :
|
Documents disponibles chez cet éditeur
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externesEvaluation of photogrammetric block orientation using quality descriptors from statistically filtered tie points / Alessio Calantropio (2018)
Titre : Evaluation of photogrammetric block orientation using quality descriptors from statistically filtered tie points Type de document : Article/Communication Auteurs : Alessio Calantropio, Auteur ; Marc Pierrot-Deseilligny Congrès : ISPRS 2018, TC II Mid-term Symposium "Towards Photogrammetry 2020" (4 - 7 juin 2018; Riva del Garda, Italie) Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2018 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 42-2 Importance : pp 185 - 191 Format : 21 x 30 cm Note générale : bibliographie
This work was supported and funded by the GAMHer project (Geomatics data Acquisition and Management for landscape and built Heritage in a European perspective), a 3-year project financed under the Italian PRIN 2015 framework (Progetti di Ricerca di Rilevante Interesse Nazionale).Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes descripteurs IGN] bloc d'images
[Termes descripteurs IGN] chaîne de traitement
[Termes descripteurs IGN] étalonnage de capteur (imagerie)
[Termes descripteurs IGN] MicMac
[Termes descripteurs IGN] modélisation 3D
[Termes descripteurs IGN] orientation relative
[Termes descripteurs IGN] photogrammétrie métrologique
[Termes descripteurs IGN] point de liaison (imagerie)
[Termes descripteurs IGN] qualité des données
[Termes descripteurs IGN] reconstruction 3DRésumé : (auteur) Due to the increasing number of low-cost sensors, widely accessible on the market, and because of the supposed granted correctness of the semi-automatic workflow for 3D reconstruction, highly implemented in the recent commercial software, more and more users operate nowadays without following the rigorousness of classical photogrammetric methods. This behaviour often naively leads to 3D products that lacks metric quality assessment. This paper proposes and analyses an approach that gives the users the possibility to preserve the trustworthiness of the metric information inherent in the 3D model, without sacrificing the automation offered by modern photogrammetry software. At the beginning, the importance of Data Quality Assessment is outlined, together with some recall of photogrammetry best practices. With the purpose of guiding the user through a correct pipeline for a certified 3D model reconstruction, an operative workflow is proposed, focusing on the first part of the object reconstruction steps (tie-points extraction, camera calibration, and relative orientation). A new GUI (Graphical User Interface) developed for the open source MicMac suite is then presented, and a sample dataset is used for the evaluation of the photogrammetric block orientation using statistically obtained quality descriptors. The results and the future directions are then presented and discussed. Numéro de notice : C2018-044 Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLII-2-185-2018 date de publication en ligne : 30/05/2018 En ligne : https://doi.org/10.5194/isprs-archives-XLII-2-185-2018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91262 
Titre : Underground visualization: Web-app, virtual reality, ex situ and in situ augmented reality Type de document : Article/Communication Auteurs : Alexandre Devaux Congrès : Congrès: ISPRS 2018, Commission 4- working group 4-9, workshop on Virtual & Augmented Reality: Technology, Design & Human Factors (2018; Delft, Pays-Bas), Commanditaire Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2018 Importance : 2 p. Langues : Français (fre) Descripteur : [Termes descripteurs IGN] réalité augmentée
[Termes descripteurs IGN] réalité virtuelle
[Termes descripteurs IGN] réseau d'assainissement
[Termes descripteurs IGN] visualisation 3D
[Termes descripteurs IGN] web mapping
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) In this work-in-progress and demo paper, we present an ongoing experiment of underground visualization, in the context of urban 3D geovisualization, for operational purposes in urban planning. After a preliminary project of sewers network digitization (Nguyen et al., 2018), the 3D model of sewers has been made available for web visualization and interaction. In this paper, we show that it is possible to address various use contexts, when adding the ability to visualize and interact with the sewer 3D model in virtual reality (VR) and in ex situ / in situ augmented reality (AR). These experiments will be further experimented to validate our hypotheses to favor collaboration, immersion for simulation and training, and more secured urban development. Numéro de notice : C2018-045 Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91517 Documents numériques
peut être téléchargé
Underground visualization ... - pdf auteurAdobe Acrobat PDF
Titre : Implementation of a real-time stacking algorithm in a photogrammetric digital camera for UAVs Type de document : Article/Communication Auteurs : Ahmad Audi, Auteur ; Marc Pierrot-Deseilligny Congrès : ISPRS 2017, Volume XLII-2/W6, 2017 Volumes International Conference on Unmanned Aerial Vehicles in Geomatics (4 - 7 septembre 2017; Bonn, Allemagne), Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2017 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLII-2/W6 Importance : pp 13 - 19 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes descripteurs IGN] chambre métrique
[Termes descripteurs IGN] drone
[Termes descripteurs IGN] flou
[Termes descripteurs IGN] GPS-INS
[Termes descripteurs IGN] implémentation (informatique)
[Termes descripteurs IGN] points homologues
[Termes descripteurs IGN] rééchantillonnage
[Termes descripteurs IGN] rotation d'objetRésumé : (auteur) In the recent years, unmanned aerial vehicles (UAVs) have become an interesting tool in aerial photography and photogrammetry activities. In this context, some applications (like cloudy sky surveys, narrow-spectral imagery and night-vision imagery) need a longexposure time where one of the main problems is the motion blur caused by the erratic camera movements during image acquisition. This paper describes an automatic real-time stacking algorithm which produces a high photogrammetric quality final composite image with an equivalent long-exposure time using several images acquired with short-exposure times. Our method is inspired by feature-based image registration technique. The algorithm is implemented on the light-weight IGN camera, which has an IMU sensor and a SoC/FPGA. To obtain the correct parameters for the resampling of images, the presented method accurately estimates the geometrical relation between the first and the Nth image, taking into account the internal parameters and the distortion of the camera. Features are detected in the first image by the FAST detector, than homologous points on other images are obtained by template matching aided by the IMU sensors. The SoC/FPGA in the camera is used to speed up time-consuming parts of the algorithm such as features detection and images resampling in order to achieve a real-time performance as we want to write only the resulting final image to save bandwidth on the storage device. The paper includes a detailed description of the implemented algorithm, resource usage summary, resulting processing time, resulting images, as well as block diagrams of the described architecture. The resulting stacked image obtained on real surveys doesn’t seem visually impaired. Timing results demonstrate that our algorithm can be used in real-time since its processing time is less than the writing time of an image in the storage device. An interesting by-product of this algorithm is the 3D rotation estimated by a photogrammetric method between poses, which can be used to recalibrate in real-time the gyrometers of the IMU. Numéro de notice : C2017-037 Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLII-2-W6-13-2017 date de publication en ligne : 23/08/2017 En ligne : https://doi.org/10.5194/isprs-archives-XLII-2-W6-13-2017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91886 ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17 / International society for photogrammetry and remote sensing (2017)
Titre : ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17 Type de document : Actes de congrès Auteurs : International society for photogrammetry and remote sensing, Auteur Congrès : ISPRS 2017 Workshops HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17 (6 - 9 juin 2017; Hanovre, Allemagne), Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2017 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLII-1/W1 Langues : Anglais (eng) Numéro de notice : 17447 Nature : Actes En ligne : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/index. [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89328
contenu dans ISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17 / International society for photogrammetry and remote sensing (2017)
Titre : A two-step decision fusion strategy: application to hyperspectral and multispectral images for urban classification Type de document : Article/Communication Auteurs : Walid Ouerghemmi Congrès : ISPRS 2017 Workshops HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17 (6 - 9 juin 2017; Hanovre, Allemagne), Commanditaire Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2017 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLII-1/W1 Projets : HYEP / Weber, Christiane Importance : pp 167 - 174 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes descripteurs IGN] classification orientée objet
[Termes descripteurs IGN] fusion d'images
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] image multibande
[Termes descripteurs IGN] incertitude géométrique
[Termes descripteurs IGN] précision de la classificationRésumé : (auteur) Very high spatial resolution multispectral images and lower spatial resolution hyperspectral images are complementary sources for urban object classification. The first enables a fine delineation of objects, while the second can better discriminate classes and consider richer land cover semantics. This paper presents a decision fusion scheme taking advantage of both sources classification maps, to produce a better classification map. The proposed method aims at dealing with both semantic and spatial uncertainties and consists in two steps. First, class membership maps are merged at pixel level. Several fusion rules are considered and compared in this study. Secondly, classification is obtained from a global regularization of a graphical model, involving a fit-to-data term related to class membership measures and an image based contrast sensitive regularization term. Results are presented on three datasets. The classification accuracy is improved up to 5 %, with comparison to the best single source classification accuracy. Numéro de notice : C2017-022 Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLII-1-W1-167-2017 date de publication en ligne : 10/06/2017 En ligne : https://doi.org/10.5194/isprs-archives-XLII-1-W1-167-2017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89282 PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
