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Auteur Emmanuel P. Baltsavias |
Documents disponibles écrits par cet auteur (13)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesSuper-resolution of Sentinel-2 images : Learning a globally applicable deep neural network / Charis Lanaras in ISPRS Journal of photogrammetry and remote sensing, vol 146 (December 2018)
Titre : Super-resolution of Sentinel-2 images : Learning a globally applicable deep neural network Type de document : Article/Communication Auteurs : Charis Lanaras, Auteur ; José Bioucas-Dias, Auteur ; Silvano Galliani, Auteur ; Emmanuel P. Baltsavias, Auteur ; Konrad Schindler, Auteur Année de publication : 2018 Article en page(s) : pp 305 - 319 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage profond
[Termes IGN] bande spectrale
[Termes IGN] échantillonnage de données
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à basse résolution
[Termes IGN] image Sentinel-MSI
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] pouvoir de résolution spectrale
[Termes IGN] réseau neuronal convolutifRésumé : (Auteur) The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands, acquired at three different spatial resolutions. The aim of this research is to super-resolve the lower-resolution (20 m and 60 m Ground Sampling Distance – GSD) bands to 10 m GSD, so as to obtain a complete data cube at the maximal sensor resolution. We employ a state-of-the-art convolutional neural network (CNN) to perform end-to-end upsampling, which is trained with data at lower resolution, i.e., from 40 20 m, respectively 360 60 m GSD. In this way, one has access to a virtually infinite amount of training data, by downsampling real Sentinel-2 images. We use data sampled globally over a wide range of geographical locations, to obtain a network that generalises across different climate zones and land-cover types, and can super-resolve arbitrary Sentinel-2 images without the need of retraining. In quantitative evaluations (at lower scale, where ground truth is available), our network, which we call DSen2, outperforms the best competing approach by almost 50% in RMSE, while better preserving the spectral characteristics. It also delivers visually convincing results at the full 10 m GSD. Numéro de notice : A2018-540 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.09.018 Date de publication en ligne : 21/10/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.09.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91554
in ISPRS Journal of photogrammetry and remote sensing > vol 146 (December 2018) . - pp 305 - 319[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2018131 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018133 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018132 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt
contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : Detection of buildings at airport sites using images and lidar data and a combination of various methods Type de document : Article/Communication Auteurs : N. Demir, Auteur ; Daniela Poli, Auteur ; Emmanuel P. Baltsavias, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 71 - 76 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] aéroport
[Termes IGN] classification dirigée
[Termes IGN] données lidar
[Termes IGN] image aérienne
[Termes IGN] modèle numérique de terrain
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Zurich (Suisse)Résumé : (Auteur) In this work, we focus on the detection of buildings, by combining information from aerial images and Lidar data. We applied four different methods on a dataset located at Zurich Airport, Switzerland. The first method is based on DSM/DTM comparison in combination with NDVI analysis (Method 1). The second one is a supervised multispectral classification refined with a normalized DSM (Method 2). The third approach uses voids in Lidar DTM and NDVI classification (Method 3), while the last method is based on the analysis of the density of the raw Lidar DTM and DSM data (Method 4). An improvement has been achieved by fusing the results of the different methods, taking into account their advantages and disadvantages. Edge information from images has also been used for quality improvement of the detected buildings. The accuracy of the building detection was evaluated by comparing the results with reference data, resulting in 94% detection and 7% omission errors for the building area. Numéro de notice : C2009-009 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_71.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65049
Titre : Analysis of Cartosat-1 images regarding image quality, 3D point measurement and DSM generation Type de document : Article/Communication Auteurs : Emmanuel P. Baltsavias, Auteur ; S. Kocaman, Auteur ; K. Wolff, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne OA ISPRS Archives Article en page(s) : pp 305 - 322 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] correction radiométrique
[Termes IGN] géoréférencement
[Termes IGN] image Cartosat-1
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] qualité d'image
[Termes IGN] restauration d'image
[Termes IGN] RomeRésumé : (Auteur) The Institute of Geodesy and Photogrammetry (IGP) at ETH Zurich is participating in the Cartosat-1 evaluation programme, a common initiative of ISRO (India) and ISPRS. Within this programme various test sites with reference data have been established and Cartosat-1 images have been acquired over these sites. Here, investigations at the Rome (Italy) and Maussane-les-Alpilles (France) test sites are reported. First, radiometric problems encountered with the images and pre-processing for their improvement are reported. Examples are shown, together with pre-processing methods that can be employed in order to improve image quality, aimed especially at automatic generation of a digital surface model (DSM) with fewer blunders and more matched points. Then, georeferencing is discussed and the 3D point measurement accuracy that can be achieved is introduced, as well as problems encountered with the rational polynomial coefficients (RPCs). The georeferencing results were produced using various options regarding image pre-processing, the mathematical model used for georeferencing, the number and distribution of ground control points (GCPs) and the GCP image mensuration methods. The best results led to a planimetric and height accuracy (RMSE) of about 1·3 m. Use of an affine transformation after the RPCs, with about six well-distributed GCPs transferred with matching to the second image, is suggested. Finally, the results of automatic DSM generation using the SAT-PP program package developed at the IGP are presented. Various DSMs were generated with 10 m grid spacing. The results were checked visually and were also compared to the reference data provided. In the best case, the accuracy achieved is about 2·7 m without any manual editing, in spite of a 3-year difference between the matching and reference DSMs. Although some aspects regarding image quality and RPC generation could be improved, Cartosat-1 is a useful sensor for mapping and especially for the generation of DSMs. However, owing to its poor absolute geolocation accuracy, Cartosat-1 cannot be used for the generation of a global DSM without GCPs. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00492.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00492.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29388
in Photogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 305 - 322[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-08031 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Advances in photogrammetry, remote sensing and spatial information sciences : 2008 ISPRS Congress book, Beijing, 3 - 11 July 2008 Type de document : Actes de congrès Auteurs : Z. Li, Éditeur scientifique ; J. Chen, Éditeur scientifique ; Emmanuel P. Baltsavias, Éditeur scientifique Editeur : Londres : Taylor & Francis Année de publication : 2008 Collection : ISPRS Book Series num. 7 Conférence : ISPRS 2008, 21st ISPRS world congress 03/07/2008 11/07/2008 Pékin Chine OA ISPRS Archives Importance : 527 p. Format : 18 x 25 cm ISBN/ISSN/EAN : 978-0-415-47805-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie
[Termes IGN] acquisition de données
[Termes IGN] analyse de données
[Termes IGN] données lidar
[Termes IGN] mission spatiale
[Termes IGN] modélisation 3D
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] télédétection aérienne
[Termes IGN] visualisation 3DRésumé : (Editeur) Publié à l'occasion du 21e Congrès de la Société Internationale de Photogrammétrie et de Télédétection (SIPT) à Pékin, en Chine en 2008, cet ouvrage est une compilation de 34 contributions de 62 chercheurs actifs dans l'ISPRS. Il couvre l'état de l'art en photogrammétrie, en télédétection spatiale et en sciences de l'information géographique. Il est divisé en six parties : -introduction, -capteurs, plates-formes et systèmes d'acquisition de données, -traitement et analyse des données, -modélisation, gestion et visualisation des données, -applications, -formation et coopération. Il donne un aperçu complet des progrès accomplis dans ces domaines depuis le 20e Congrès de la SIPT, qui a eu lieu en 2004 à Istanbul, en Turquie. Le volume sera précieux, non seulement aux scientifiques et aux chercheurs, mais aussi aux étudiants universitaires et aux praticiens. Note de contenu : Part I - Introduction
Chapter 1 Historical development of ISPRS, John Trinder & Lawrence Fritz
Chapter 2 Scientific-Technological developments of photogrammetry and remote sensing between 2004 and 2008, Armin Gruen
Part II - Sensors, platforms and data acquisition systems
Chapter 3 Spaceborne digital imaging sensors and systems, Gordon Petrie
Chapter 4 Airborne digital imaging sensors and systems, Gordon Petrie & Kenneth Smillie
Chapter 5 Close-range photogrammetry sensors, Hans-Gerd Maas
Chapter 6 LIDAR: Airborne and terrestrial sensors, Aloysius Wehr
Chapter 7 Land mobile mapping systems, Naser El-Sheimy
Chapter 8 Small satellite missions, Rainer Sandau
Chapter 9 Unmanned aerial vehicles for photogrammetry and remote sensing, Jurgen Everaerts
Part III - Data processing and analysis
Chapter 10 Remote sensing signatures: Measurements, modelling and applications, Shunlin Liang, Michael Schaepman & Mathias Kneubühler
Chapter 11 Geometric modelling of linear CCDs and panoramic imagers, Karsten Jacobsen
Chapter 12 DSM generation and deformation measurement from SAR data, Michele Crosetto & Paolo Pasquali
Chapter 13 Early stages of LIDAR data processing, Norbert Pfeifer & Jan Böhm
Chapter 14 Pan-Sharpening for improved information extraction, Yun Zhang
Chapter 15 Object extraction and attribution from hyperspectral images, Freek van der Meer, Harald van der Werff, Mark van der Meijde, Frank van Ruitenbeek, Chris Hecker & Steven de Jong
Chapter 16 Automated extraction of roads, buildings, and vegetation from multi-source data, Helmut Mayer, Stefan Hinz & Uwe Stilla
Chapter 17 Processing of multitemporal data and change detection, Haigang Sui, Qiming Zhou, Jianya Gong & Guorui Ma
Part IV - Data modelling, management and visualization
Chapter 18 Spatio-Temporal modelling, Wolfgang Kainz & Xinming Tang
Chapter 19 Multi-scale modelling and representation of geospatial data, Zhilin Li
Chapter 20 Multiple representation databases, Monika Sester
Chapter 21 Dynamic GIS, Christopher M. Gold, Darka Mioc & François Anton
Chapter 22 Semantic integration of heterogeneous geospatial information, Marinos Kavouras & Margarita Kokla
Chapter 23 3D Data modelling and visualization, Sabry El-Hakim
Part V - Applications
Chapter 24 Spatial data infrastructures and clearinghouses, Costas Armenakis
Chapter 25 Web mapping/GIS services and applications, Songnian Li
Chapter 26 Updating geospatial databases from images, Christian Heipke, Peter A. Woodsford & Markus Gerke
Chapter 27 Applications in cultural heritage documentation, Petros Patias, Pierre Grussenmeyer & Klaus Hanke
Chapter 28 Natural disaster management: Activities in support of the UN system, Piero Boccardo & Fabio Giulio Tonolo
Chapter 29 Environmental sensing and human health, Stanley A. Morain & Amelia M. Budge
Chapter 30 Industrial applications of photogrammetry, Thomas Luhmann & Stuart Robson
Chapter 31 Medical applications, Nicola D’apuzzo & Harvey Mitchell
Chapter 32 Forestry applications, Barbara Koch & Matthias Dees
Part VI - Education and cooperation
Chapter 33 Educational developments and outreach, Kohei Cho, Gerhard König & Joachim Höhle
Chapter 34 International cooperation and capacity building, Ian Dowman & Shunji MuraiNuméro de notice : 20097 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Actes DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34935 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 20097-01 CG2008 Livre Centre de documentation Congrès Disponible
Titre : Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems Type de document : Article/Communication Auteurs : Emmanuel P. Baltsavias, Auteur Année de publication : 2004 Article en page(s) : pp 129 - 151 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse d'image numérique
[Termes IGN] base de connaissances
[Termes IGN] détection du bâti
[Termes IGN] données localisées
[Termes IGN] extraction du réseau routier
[Termes IGN] extraction semi-automatique
[Termes IGN] modèle 3D de l'espace urbainRésumé : (Auteur) The paper focuses mainly on extraction of important topographic objects, like buildings and roads, that have received much attention the last decade. As main input data, aerial imagery is considered, although other data, like from laser scanner, SAR and high-resolution satellite imagery, can be also used. After a short review of recent image analysis trends, and strategy and overall system aspects of knowledge-based image analysis, the paper focuses on aspects of knowledge that can be used for object extraction: types of knowledge, problems in using existing knowledge, knowledge representation and management, current and possible use of knowledge, upgrading and augmenting of knowledge. Finally, an overview on commercial systems regarding automated object extraction and use of a priori knowledge is given. In spite of many remaining unsolved problems and need for further research and development, use of knowledge and semi-automation are the only viable alternatives towards development of useful object extraction systems, as some commercial systems on building extraction and 3D city modelling as well as advanced, practically oriented research have shown. Copyright ISPRS Numéro de notice : A2004-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2003.09.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2003.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26575
in ISPRS Journal of photogrammetry and remote sensing > vol 58 n° 3-4 (January - June 2004) . - pp 129 - 151[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 081-04012 RAB Revue Centre de documentation En réserve L003 Disponible 081-04011 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
