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ATLANTIS : Une ontologie pour représenter les Instructions nautiques / Helen Mair Rawsthorne (2022)  

Public Titre : ATLANTIS : Une ontologie pour représenter les Instructions nautiques Type de document : Article/Communication Auteurs : Helen Mair Rawsthorne , Auteur ; Nathalie Abadie , Auteur ; Eric Kergosien, Auteur ; Cécile Duchêne , Auteur ; Eric Saux, Auteur Editeur : Orsay, Chambéry : Association Française de l'Intelligence Artificielle AFIA Année de publication : 2022 Projets : 1-Pas de projet / Conférence : IC 2022, 33es journées francophones d'Ingénierie des connaissances 27/06/2022 01/07/2022 Saint-Étienne France OA Proceedings Importance : pp 154 - 163 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] base de connaissances [Termes IGN] ingénierie des connaissances [Termes IGN] intelligence artificielle [Termes IGN] navigation maritime [Termes IGN] ontologie [Termes IGN] représentation des connaissances [Termes IGN] thesaurus Mots-clés libres : Simplified Agile Methodology for Ontology Development (SAMOD) Résumé : (Auteur) Les Instructions nautiques sont une série d’ouvrages produits et publiés par le Service hydrographique et océanographique de la Marine (SHOM) qui donnent aux navigateurs les informations nécessaires pour naviguer près des côtes et accéder aux ports. Dans cet article, nous présentons l’ontologie ATLANTIS (coAsTaL mAritime NavigaTion InstructionS) que nous avons développée pour modéliser les connaissances contenues dans ces ouvrages, ainsi qu’un retour d’expérience et des adaptations que nous avons apportées à la Simplified Agile Methodology for Ontology Development (SAMOD), la méthodologie de développement d’ontologies que nous avons employée. Numéro de notice : C2022-029 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans Date de publication en ligne : 14/06/2022 En ligne : https://hal.archives-ouvertes.fr/hal-03695242 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101029

Predicting AIS reception using tropospheric propagation forecast and machine learning / Zackary Vanche (2022)  

Public Titre : Predicting AIS reception using tropospheric propagation forecast and machine learning Type de document : Article/Communication Auteurs : Zackary Vanche, Auteur ; Ambroise Renaud, Auteur ; Aldo Napoli, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2022 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : ISAP 2022, IEEE AP-S/URSI International Symposium on Antennas & Propagation 10/07/2022 01/07/2022 Denver Colorado - Etats-Unis OA Proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage automatique [Termes IGN] carte thématique [Termes IGN] identification automatique [Termes IGN] navigation maritime [Termes IGN] navire [Termes IGN] récepteur [Termes IGN] troposphère Résumé : (auteur) The aim of this paper is to present a methodology for modelling and predicting the coverage of an Automatic Identification System (AIS) station based on tropospheric index forecast maps and modelling methods from machine learning. The aim of this work is to cartographically represent the areas in which the AIS signals emitted by ships will be received by a coastal station. This work contributes to the improvement of maritime situational awareness and to the detection of anomalies at sea [1], and in particular to the identification of AIS message falsifications [2] (ubiquity of a vessel by identity theft, falsification of GPS positions and deactivation of AIS). Numéro de notice : C2022-036 Affiliation des auteurs : ENSG+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : en attente En ligne : https://hal.archives-ouvertes.fr/IGN-ENSG/hal-03726782v1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101606

Passive radar imaging of ship targets with GNSS signals of opportunity / Debora Pastina in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 3 (March 2021)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > Vol 59 n° 3 (March 2021) . - pp 2627 - 2742 Titre : Passive radar imaging of ship targets with GNSS signals of opportunity Type de document : Article/Communication Auteurs : Debora Pastina, Auteur ; Fabrizio Santi, Auteur ; Federica Pieralice, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2627 - 2742 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] capteur passif [Termes IGN] chaîne de traitement [Termes IGN] détection de cible [Termes IGN] extraction de traits caractéristiques [Termes IGN] image radar [Termes IGN] navigation maritime [Termes IGN] navire [Termes IGN] objet mobile [Termes IGN] radar bistatique [Termes IGN] signal GNSS [Termes IGN] télédétection spatiale Résumé : (Auteur) This article explores the possibility to exploit global navigation satellite systems (GNSS) signals to obtain radar imagery of ships. This is a new application area for the GNSS remote sensing, which adds to a rich line of research about the alternative utilization of navigation satellites for remote sensing purposes, which currently includes reflectometry, passive radar, and synthetic aperture radar (SAR) systems. In the field of short-range maritime surveillance, GNSS-based passive radar has already proven to detect and localize ship targets of interest. The possibility to obtain meaningful radar images of observed vessels would represent an additional benefit, opening the doors to noncooperative ship classification capability with this technology. To this purpose, a proper processing chain is here conceived and developed, able to achieve well-focused images of ships while maximizing their signal-to-background ratio. Moreover, the scaling factors needed to map the backscatter energy in the range and cross-range domain are also analytically derived, enabling the estimation of the length of the target. The effectiveness of the proposed approach at obtaining radar images of ship targets and extracting relevant features is confirmed via an experimental campaign, comprising multiple Galileo satellites and a commercial ferry undergoing different kinds of motion. Numéro de notice : A2021-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.3005306 Date de publication en ligne : 16/07/2020 En ligne : https://doi.org/10.1109/TGRS.2020.3005306 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97210 [article]

Optimal lowest astronomical tide estimation using maximum likelihood estimator with multiple ocean models hybridization / Mohammed El-Diasty in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 5 (May 2020) . - 11 p. Titre : Optimal lowest astronomical tide estimation using maximum likelihood estimator with multiple ocean models hybridization Type de document : Article/Communication Auteurs : Mohammed El-Diasty, Auteur Année de publication : 2020 Article en page(s) : 11 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Océanographie [Termes IGN] carte marine [Termes IGN] données hydrographiques [Termes IGN] incertitude des données [Termes IGN] levé hydrographique [Termes IGN] marée océanique [Termes IGN] marégraphe [Termes IGN] méthode du maximum de vraisemblance (estimation) [Termes IGN] modèle océanographique [Termes IGN] navigation maritime [Termes IGN] niveau de la mer [Termes IGN] océanographie dynamique [Termes IGN] Rouge, mer Résumé : (auteur) Developing an accurate Lowest Astronomical Tide (LAT) in a continuous form is essential for many maritime applications as it can be employed to develop an accurate continuous vertical control datum for hydrographic surveys applications and to produce accurate dynamic electronic navigation charts for safe maritime navigation by mariners. The LAT can be developed in a continuous (surface) using an estimated LAT surface model from the hydrodynamic ocean model along with coastal discrete LAT point values derived from tide gauges data sets to provide the corrected LAT surface model. In this paper, an accurate LAT surface model was developed for the Red Sea case study using a Maximum Likelihood Estimator (MLE) with multiple hydrodynamic ocean models hybridization, namely, WebTide, FES2014, DTU10, and EOT11a models. It was found that the developed optimal hybrid LAT model using MLE with multiple hydrodynamic ocean models hybridization ranges from 0.1 m to 1.63 m, associated with about 2.4 cm of uncertainty at a 95% confidence level in the Red Sea case study area. To validate the accuracy of the developed model, the comparison was made between the optimal hybrid LAT model developed from multiple hydrodynamic ocean models hybridization using the MLE method with the individual LAT models estimated from individual WebTide, FES2014, DTU10, or EOT11a ocean models based on the associated uncertainties estimated at a 95% confidence level. It was found that the optimal hybrid LAT model accuracy is superior to the individual LAT models estimated from individual ocean models with an improvement of about 50% in average, based on the estimated uncertainties. The importance of developing optimal LAT surface model using the MLE method with multiple hydrodynamic ocean models hybridization in this paper with few centimeters level of uncertainty can lead to accurate continuous vertical datum estimation that is essential for many maritime applications. Numéro de notice : A2020-301 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9050327 Date de publication en ligne : 17/05/2020 En ligne : https://doi.org/10.3390/ijgi9050327 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95141 [article]

Sailing : Cognition, action, communication / Thora Tenbrink in Journal of Spatial Information Science (JoSIS), n° 15 (September 2017)  

Public [article]  inJournal of Spatial Information Science (JoSIS) > n° 15 (September 2017) . - pp 3 - 33 Titre : Sailing : Cognition, action, communication Type de document : Article/Communication Auteurs : Thora Tenbrink, Auteur ; Frank Dylla, Auteur Année de publication : 2017 Article en page(s) : pp 3 - 33 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] navigation maritime [Termes IGN] repère de référence [Termes IGN] représentation cognitive [Termes IGN] représentation mentale spatiale [Vedettes matières IGN] Cartologie Résumé : (Auteur) How do humans perceive and think about space, and how can this be represented adequately? For everyday activities such as locating objects or places, route planning, and the like, many insights have been gained over the past few decades, feeding into theories of spatial cognition and frameworks for spatial information science. In this paper, we explore sailing as a more specialized domain that has not yet been considered in this way, but has a lot to offer precisely because of its peculiarities. Sailing involves ways of thinking about space that are not normally required (or even acquired) in everyday life. Movement in this domain is based on a combination of external forces and internal (human) intentions that impose various kinds of directionality, affecting local action as well as global planning. Sailing terminology is spatial to a high extent, and involves a range of concepts that have received little attention in the spatial cognition community. We explore the area by focusing on the core features of cognition, action, and communication, and suggest a range of promising future areas of research in this domain as a showcase of the fascinating flexibility of human spatial cognition. Numéro de notice : A2017-820 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5311/JOSIS.2017.15.350 En ligne : https://doi.org/10.5311/JOSIS.2017.15.350 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89305 [article]

Baltic sea ice concentration estimation using SENTINEL-1 SAR and AMSR2 microwave radiometer data / Juha Karvonen in IEEE Transactions on geoscience and remote sensing, vol 55 n° 5 (May 2017)  

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Description formelle de trajectoire de navigation en environnement maritime côtier / Wissame Laddada in Revue internationale de géomatique, vol 27 n° 2 (avril - juin 2017)  

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Design principles of a stream-based framework for mobility analysis / Loic Salmon in Geoinformatica [en ligne], vol 21 n° 2 (April - June 2017)  

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A virtual globe-based visualization and interactive framework for a small craft navigation assistance system in the near sea / Xinzhu Liu in Journal of Traffic and Transportation Engineering (English Edition), n° (April 2017)  

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Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: a case study / Lei Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)  

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Feature-driven generalization of isobaths on nautical charts: A multi-agent system approach / Eric Guilbert in Transactions in GIS, vol 20 n° 1 (February 2016)  

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Trouver le Nord / Olivier Le Carrer (2016)

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The British contribution to the charting of the Adriatic sea / Mirela Slukan Altić in Cartographic journal (the), Vol 52 n° 4 (November 2015)  

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Illustration 3D de la Méthode du Plan des Sommets pour la détermination du point au large / Yves Robin-Jouan in Navigation aérienne, maritime, spatiale, terrestre, vol 62 n° 248 (septembre 2015)

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De la navigation "à vue" au calcul des longitudes / Jean-Yves Sarazin in Carto, le monde en cartes, n° 28 (mars - avril 2015)

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