Structural knowledge learning from maps for supervised land cover/use classification: Application to the monitoring of land cover/use maps in French Guiana

Abstract : The number of satellites and sensors devoted to Earth observation has become increasingly elevated, delivering extensive data, especially images. At the same time, the access to such data and the tools needed to process them has considerably improved. In the presence of such data flow, we need automatic image interpretation methods, especially when it comes to the monitoring and prediction of environmental and societal changes in highly dynamic socio-environmental contexts. This could be accomplished via artificial intelligence. The concept described here relies on the induction of classification rules that explicitly take into account structural knowledge, using Aleph, an Inductive Logic Programming (ILP) system, combined with a multi-class classification procedure. This methodology was used to monitor changes in land cover/use of the French Guiana coastline. One hundred and fifty-eight classification rules were induced from 3 diachronic land cover/use maps including 38 classes. These rules were expressed in first order logic language, which makes them easily understandable by non-experts. A 10-fold cross-validation gave significant average values of 84.62%, 99.57% and 77.22% for classification accuracy, specificity and sensitivity, respectively. Our methodology could be beneficial to automatically classify new objects and to facilitate object-based classification procedures.
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01369822
Contributeur : Emmanuel Roux <>
Soumis le : mercredi 21 septembre 2016 - 15:22:14
Dernière modification le : mercredi 12 septembre 2018 - 17:46:03
Document(s) archivé(s) le : jeudi 22 décembre 2016 - 13:34:02

Fichier

CAGEO-D-13-00538R1_article.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Meriam Bayoudh, Emmanuel Roux, Gilles Richard, Richard Nock. Structural knowledge learning from maps for supervised land cover/use classification: Application to the monitoring of land cover/use maps in French Guiana. Computers and Geosciences, Elsevier, 2015, 76, pp.31-40. 〈10.1016/j.cageo.2014.08.013〉. 〈hal-01369822〉

Partager

Métriques

Consultations de la notice

603

Téléchargements de fichiers

152