@article{fdi:010060514,
  title = {{A}dvances in {G}eographic {O}bject-{B}ased {I}mage {A}nalysis with ontologies : a review of main contributions and limitations from a remote sensing perspective},
  author = {{A}rvor, {D}amien and {D}urieux, {L}aurent and {A}ndres, {S}amuel and {L}aporte, {M}arie-{A}ng{\'e}lique},
  editor = {},
  language = {{ENG}},
  abstract = {{G}eographic {O}bject-{B}ased {I}mage {A}nalysis ({GEOBIA}) represents the most innovative new trend for processing remote sensing images that has appeared during the last decade. {H}owever, its application is mainly based on expert knowledge, which consequently highlights important scientific issues with respect to the robustness of the methods applied in {GEOBIA}. {I}n this paper, we argue that {GEOBIA} would benefit from another technical enhancement involving knowledge representation techniques such as ontologies. {A}lthough the role of ontologies in {G}eographical {I}nformation {S}ciences ({GIS}ciences) is not a new topic, few works have discussed how ontologies, considered from the perspective of a remote sensing specialist, can contribute to advancing remote sensing science. {W}e summarize the main applications of ontologies in {GEOBIA}, especially for data discovery, automatic image interpretation, data interoperability, workflow management and data publication. {F}inally, we discuss the major issues related to the construction of ontologies suitable for remote sensing applications and outline long-term future advances that can be expected for the remote sensing community.},
  keywords = {{O}ntology ; {GEOBIA} ; {K}nowledge representation ; {L}and cover ; {I}nteroperability},
  booktitle = {},
  journal = {{ISPRS} {J}ournal of {P}hotogrammetry and {R}emote {S}ensing},
  volume = {82},
  numero = {},
  pages = {125--137},
  ISSN = {0924-2716},
  year = {2013},
  DOI = {10.1016/j.isprsjprs.2013.05.003},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060514},
}