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Implementation of the log-transformed band ratio algorithm on images of WorldView-3 and Sentinel-2 for bathymetry mapping of a pocket beach of Malta / Antoine Cornu (2022)  

Public Titre : Implementation of the log-transformed band ratio algorithm on images of WorldView-3 and Sentinel-2 for bathymetry mapping of a pocket beach of Malta Type de document : Article/Communication Auteurs : Antoine Cornu, Auteur ; Luciano Galone, Auteur ; Arnaud Le Bris , Auteur ; Sebastiano d' Amico, Auteur ; Adam Gauci, Auteur ; Manchun Lei , Auteur ; Emanuele Colica, Auteur Editeur : New-York : IEEE Computer society Année de publication : 2022 Conférence : MetroSea 2022, IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters 03/10/2022 05/10/2022 Milazzo Italie Importance : pp 493 - 496 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] bathymétrie [Termes IGN] image Sentinel-MSI [Termes IGN] image Worldview [Termes IGN] littoral [Termes IGN] profondeur Mots-clés libres : log-transformed band ratio  depth retrieval Résumé : (auteur) Several methods are in place to calculate shallow water bathymetry from satellite images, such as Worldview 3 or Sentinel-2, which have differences in their resolution and their accessibility. The method used in this research is the log- transformed band ratio between the blue channel and the green channel. This document compares the results of this method with the Worldview 3 and Sentinel-2 images. Numéro de notice : C2022-045 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/MetroSea55331.2022.9950982 En ligne : https://doi.org/10.1109/MetroSea55331.2022.9950982 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102290

Autocovariance-based perceptual textural features corresponding to human visual perception / N. Abbadeni (2020)  

Public Titre : Autocovariance-based perceptual textural features corresponding to human visual perception Type de document : Article/Communication Auteurs : N. Abbadeni, Auteur ; D. Ziou, Auteur ; Shengrui Wang, Auteur Editeur : New-York : IEEE Computer society Année de publication : 2020 Conférence : ICPR 2000, 15th International Conference on Pattern Recognition 03/09/2000 07/09/2000 Barcelone Espagne Proceedings IEEE Importance : pp. 901 - 904 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] covariance [Termes IGN] psychologie [Termes IGN] reconnaissance de formes [Termes IGN] texture d'image [Termes IGN] vision Résumé : (auteur) It has been shown that humans use some perceptual textural features such as coarseness, contrast and direction to distinguish between textured images or regions. The aim of this paper is to present a new method to estimate these perceptual textural features using the autocovariance function. Computational measures derived from the autocovariance function to estimate these perceptual textural features are presented. Experimental results are then given and the correspondence between the computational measures proposed and the psychological measures is shown using some psychometric method. Numéro de notice : C2000-027 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICPR.2000.903689 Date de publication en ligne : 06/08/2002 En ligne : https://doi.org/10.1109/ICPR.2000.903689 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103263

Co-visualization of air temperature and urban data for visual exploration / Jacques Gautier (2020)    

Public Titre : Co-visualization of air temperature and urban data for visual exploration Type de document : Article/Communication Auteurs : Jacques Gautier , Auteur ; Mathieu Brédif , Auteur ; Sidonie Christophe , Auteur Editeur : New-York : IEEE Computer society Année de publication : 2020 Projets : URCLIM / Masson, Valéry Conférence : IEEE VIS 2020, (VAST, INFOVIS, SCIVIS), premier forum for advances in visualization and visual analytics 25/10/2020 30/10/2020 en ligne Espagne vers VIS.org Importance : 5 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] distribution spatiale [Termes IGN] exploration de données géographiques [Termes IGN] ilot thermique urbain [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] morphologie urbaine [Termes IGN] rendu (géovisualisation) [Termes IGN] représentation graphique [Termes IGN] température de l'air [Termes IGN] visualisation 3D [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Urban climate data remain complex to analyze regarding their spatial distribution. The co-visualization of simulated air temperature into urban models could help experts to analyze horizontal and vertical spatial distributions. We design a co-visualization framework enabling simulated air temperature data exploration, based on the graphic representation of three types of geometric proxies, and their co-visualization with a 3D urban model with various possible rendering styles. Through this framework, we aim at allowing meteorological researchers to visually analyze and interpret the relationships between simulated air temperature data and urban morphology. Numéro de notice : C2020-005 Affiliation des auteurs : UGE-LASTIG (2020- ) Autre URL associée : VIS 2020 Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/VIS47514.2020.00021 Date de publication en ligne : 01/02/2021 En ligne : https://doi.org/10.1109/VIS47514.2020.00021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96161

Documents numériques

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Tile & merge: Distributed Delaunay triangulations for cloud computing / Laurent Caraffa (2019)  

Public Titre : Tile & merge: Distributed Delaunay triangulations for cloud computing Type de document : Article/Communication Auteurs : Laurent Caraffa , Auteur ; Pooran Memari, Auteur ; Murat Yirci, Auteur ; Mathieu Brédif , Auteur Editeur : New-York : IEEE Computer society Année de publication : 2019 Projets : 1-Pas de projet / Masson, Valéry Conférence : Big Data 2019, IEEE International Conference on Big Data 09/12/2019 12/12/2019 Los Angeles Californie - Etats-Unis Proceedings IEEE Importance : 7 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] géomètrie algorithmique [Termes IGN] informatique en nuage [Termes IGN] jeu de données [Termes IGN] mémoire d'ordinateur [Termes IGN] reconstruction d'objet [Termes IGN] semis de points [Termes IGN] Spark [Termes IGN] triangulation de Delaunay Résumé : (auteur) Motivated by the needs of a scalable out-of-core surface reconstruction algorithm available on the cloud, this paper addresses the computation of distributed Delaunay triangulations of massive point sets. The proposed algorithm takes as input a point cloud and first partitions it across multiple processing elements into tiles of relatively homogeneous point sizes. The distributed computation and communication between processing elements is orchestrated so that each one discovers the Delaunay neighbors of its input points within the theoretical overall Delaunay triangulation of all points and computes locally a partial view of this triangulation. This approach prevents memory limitations by never materializing the global triangulation. This efficiency is due to our proposed uncentralized model to represent, manage and locally construct the triangulation corresponding to each tile. The point set is first partitioned into non-overlapping tiles, then we construct within each tile the Delaunay triangulation of the local points and a minimal set of replicated foreign points in order to capture the simplices spanning multiple tiles. Inspired by the star splaying approach for Delaunay triangulation computation/repair, communication is limited to exchanging points of potential Delaunay neighbors across tiles. Therefore, our method is guaranteed to reconstruct, within each tile, a triangulation that contains the star of its local points, as though it were computed within the Delaunay triangulation of all points. The proposed algorithm is implemented with Spark for the scheduling and C++ for the geometric computations. This allows both an optimal scheduling on multiple machines and efficient low-level computation. The results show the efficiency of our algorithm in terms of speedup and strong scaling on a classical Spark configuration with both synthetic and real use case datasets. Numéro de notice : C2019-033 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE/INFORMATIQUE/MATHEMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/BigData47090.2019.9006534 Date de publication en ligne : 24/02/2020 En ligne : https://doi.org/10.1109/BigData47090.2019.9006534 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95318

The Guided Bilateral Filter: When the Joint/Cross Bilateral Filter Becomes Robust / Laurent Caraffa (2015)  

Public Titre : The Guided Bilateral Filter: When the Joint/Cross Bilateral Filter Becomes Robust Type de document : Article/Communication Auteurs : Laurent Caraffa , Auteur ; Jean-Philippe Tarel, Auteur ; Pierre Charbonnier, Auteur Editeur : New-York : IEEE Computer society Année de publication : 2015 Importance : 10 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] convexité [Termes IGN] filtre [Termes IGN] filtre de Gauss [Termes IGN] lissage de données [Termes IGN] méthode du maximum de vraisemblance (estimation) [Termes IGN] rapport signal sur bruit Résumé : (auteur) The bilateral filter and its variants, such as the joint/cross bilateral filter, are well-known edge-preserving image smoothing tools used in many applications. The reason of this success is its simple definition and the possibility of many adaptations. The bilateral filter is known to be related to robust estimation. This link is lost by the ad hoc introduction of the guide image in the joint/cross bilateral filter. We here propose a new way to derive the joint/cross bilateral filter as a particular case of a more generic filter, which we name the guided bilateral filter. This new filter is iterative, generic, inherits the robustness properties of the robust bilateral filter, and uses a guide image. The link with robust estimation allows us to relate the filter parameters with the statistics of input images. A scheme based on graduated nonconvexity is proposed, which allows converging to an interesting local minimum even when the cost function is nonconvex. With this scheme, the guided bilateral filter can handle non-Gaussian noise on the image to be filtered. A complementary scheme is also proposed to handle non-Gaussian noise on the guide image even if both are strongly correlated. This allows the guided bilateral filter to handle situations with more noise than the joint/cross bilateral filter can work with and leads to high peak signal-to-noise ratio values as shown experimentally. Numéro de notice : C2015-066 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/TIP.2015.2389617 En ligne : https://doi.org/10.1109/TIP.2015.2389617 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99589

3D roof details by 3D aerial vision / Philip Meixner (2011)    

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Computer vision for the remote sensing of atmospheric visibility / Raouf Babari (2011)  

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Extracting outlined planar clusters of street facades from 3D point clouds / Karim Hammoudi (2010)  

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Support vectors selection for supervised learning using an ensemble approach / Li Guo (2010)  

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Automatic pyramidal intensity-based laser scan matcher for 3D modeling of large scale unstructured environments / Daniela Craciun (2008)  

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Building reconstruction from a single DEM / Florent Lafarge (2008)  

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A conceptual model for evaluating aesthetic effect within the user experience of information visualization / Nick Cawthon (2006)

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DEXA 2004, Fifteenth International Workshop on Database and Expert Systems Applications / Fernando Galindo (2004)  

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Online appearance-based face and facial feature tracking / Fadi Dornaika (2004)  

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Oxygene : A plateform for the development of interoperable geographic applications and web services / Thierry Badard (2004)  

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