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dc.contributor.advisorHe, Dong-Chenfr
dc.contributor.advisorMorin, Denisfr
dc.contributor.authorFarah, Noureddinefr
dc.date.accessioned2014-05-15T13:16:49Z
dc.date.available2014-05-15T13:16:49Z
dc.date.created1998fr
dc.date.issued1998fr
dc.identifier.isbn0612356744fr
dc.identifier.urihttp://savoirs.usherbrooke.ca/handle/11143/2042
dc.description.abstractThe objective of this thesis is to develop automatic tools for the extraction and the evaluation of urban road network from satellite imagery.The subject of the detection of urban road network is interesting because of it's usefulness and the diversity of it's applications (urban cartography, automatic navigation, recalage of images, etc.). Our research follows two axes. On the one hand, we have developed a road detection procedure, and on the other hand, in the perspective of conducting a result evaluation, we have implemented a method for the evaluation of extraction results.The proposed method provides a reliable solution to the evaluation problem because it combines both visual and quantitative measurements designed for the overall road network as well as for each of it's components.The road detection procedure is used to extract the road network from a panchromatic SPOT image of an urban area, while the evaluation algorithms are applied to the extracted network and another network detected by Wang, D. et al., (1996). We were thus able to evaluate the performance of the two different detection methods.The results obtained show a precision of 0.73 for our method and 0.70 for the Wang, D. method, while the error of commission reaches 0.47 for the proposed method versus 0.34 for the second method. To provide more depth to the analysis of our results, we carried out an evaluation for each component of the road network, namely: straights, curves, intersections and dead ends. Overall, dead end show minimal rate of successful followed by intersections, curves and straights.fr
dc.language.isofrefr
dc.publisherUniversité de Sherbrookefr
dc.rights© Noureddine Farahfr
dc.titleExtraction et évaluation du réseau routier urbain à partir des images satellitaires développement d'algorithmesfr
dc.typeMémoirefr
tme.degree.disciplineTélédétectionfr
tme.degree.grantorFaculté des lettres et sciences humainesfr
tme.degree.levelMaîtrisefr
tme.degree.nameM. Sc.fr


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