Ontologies to Interpret Remote Sensing Images: Why Do We Need Them?
Ontologies to interpret remote sensing images : why do we need them? Damien Arvor, Mariana Belgiu, Zoe Falomir, Isabelle Mougenot, Laurent Durieux To cite this version: Damien Arvor, Mariana Belgiu, Zoe Falomir, Isabelle Mougenot, Laurent Durieux. Ontologies to inter- pret remote sensing images : why do we need them?. GIScience and Remote Sensing, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2019, pp.1-29. 10.1080/15481603.2019.1587890. halshs-02079438 HAL Id: halshs-02079438 https://halshs.archives-ouvertes.fr/halshs-02079438 Submitted on 26 Mar 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. GIScience & Remote Sensing ISSN: 1548-1603 (Print) 1943-7226 (Online) Journal homepage: https://www.tandfonline.com/loi/tgrs20 Ontologies to interpret remote sensing images: why do we need them? Damien Arvor, Mariana Belgiu, Zoe Falomir, Isabelle Mougenot & Laurent Durieux To cite this article: Damien Arvor, Mariana Belgiu, Zoe Falomir, Isabelle Mougenot & Laurent Durieux (2019): Ontologies to interpret remote sensing images: why do we need them?, GIScience & Remote Sensing To link to this article: https://doi.org/10.1080/15481603.2019.1587890 © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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