Quantitatively assessing roads extracted from high resolution imagery - Mines Paris Accéder directement au contenu
Article Dans Une Revue Photogrammetric engineering and remote sensing Année : 2004

Quantitatively assessing roads extracted from high resolution imagery

Résumé

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.
Fichier non déposé

Dates et versions

hal-00528761 , version 1 (22-10-2010)

Identifiants

  • HAL Id : hal-00528761 , version 1

Citer

Renaud Peteri, Isabelle Couloigner, Thierry Ranchin. Quantitatively assessing roads extracted from high resolution imagery. Photogrammetric engineering and remote sensing, 2004, 70 (12), p.1449-1456. ⟨hal-00528761⟩
55 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More