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Article dans une revue

Quantitatively assessing roads extracted from high resolution imagery

Abstract : Urban mapping has become a challenge for scientists since the launch of high spatial resolution satellites. This paper focuses on the problem of quality when extracting roads from such data. The definition of a judicious reference enabling the establishment of quantitative criteria is proposed. A method is presented and two sets of criteria dedicated to the evaluation of road extraction algorithms are introduced. An example of an application is proposed enhancing the benefits of a rigorous approach of this problem.
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Article dans une revue
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Contributeur : Magalie Prudon <>
Soumis le : vendredi 22 octobre 2010 - 14:21:15
Dernière modification le : jeudi 24 septembre 2020 - 17:22:03


  • HAL Id : hal-00528761, version 1


Renaud Peteri, Isabelle Couloigner, Thierry Ranchin. Quantitatively assessing roads extracted from high resolution imagery. Photogrammetric engineering and remote sensing, Asprs American Society for Photogrammetry and, 2004, 70 (12), p.1449-1456. ⟨hal-00528761⟩