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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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https://hal-mines-paristech.archives-ouvertes.fr/hal-00528761
Contributor : Magalie Prudon <>
Submitted on : Friday, October 22, 2010 - 2:21:15 PM
Last modification on : Monday, April 12, 2021 - 2:12:24 PM

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  • HAL Id : hal-00528761, version 1

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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⟩

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