Chapitre D'ouvrage Année : 2011

A platform for spatial data labelling in an urban context. In , E. Bocher and M. Neteler (Eds)

Résumé

This chapter presents a platform for classifying urban areas, improved by a machine learning framework able to ease this classification. We propose thanks to this platform an iterative procedure for geographic experts that have to define classes or “labels” and then classify in a semi-automated way. This work is part of the GeOpenSim project and has been developed within the Geoxygene framework.

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Dates et versions

hal-05020032 , version 1 (03-04-2025)

Identifiants

Citer

Julien Lesbegueries, Nicolas Lachiche, Agnès Braud, Grzegorz Skupinski, Anne Puissant, et al.. A platform for spatial data labelling in an urban context. In , E. Bocher and M. Neteler (Eds). Erwan Bocher; Markus Neteler. Geospatial Free and Open Source Software in the 21st Century, Springer, 2011, Lecture Notes in Geoinformation and Cartography, Springer, 978-3-642-10594-4. ⟨10.1007/978-3-642-10595-1_4⟩. ⟨hal-05020032⟩
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