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Comparing accuracy assessments to infer superiority of image classification methods / J. De Leleuw in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°1-2 (January 2006) . - pp 223 - 232 Titre : Comparing accuracy assessments to infer superiority of image classification methods Type de document : Article/Communication Auteurs : J. De Leleuw, Auteur ; H. Jia, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 223 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] classification [Termes IGN] fonction aléatoire [Termes IGN] inférence statistique [Termes IGN] Kappa de Cohen [Termes IGN] marais salé [Termes IGN] matrice d'erreur [Termes IGN] Pays-Bas [Termes IGN] plante halophile [Termes IGN] variance Résumé : (Auteur) The z-test based on the Kappa statistic is commonly used to infer superiority of one map production method over another. Typically the same reference data set is used to calculate and next compare the Kappa's of the two maps. This data structure easily leads to dependence between the two error-matrices. This may result in overly large variance estimates and too conservative inference about the difference in accuracy between the two methods. Tests considering the dependency between the error matrices would be more sensitive in such case. In this article we compare the performance of two such tests, a randomization and McNemar's test, with the traditional z-test. We compared 16 alternative methods to classify salt marsh vegetation in The Netherlands. The error matrices were positively associated in all 120 possible comparisons of pairs of classification methods. This suggests that dependency between pairs of error matrices used in classifier comparison is a common phenomenon. Both the randomization and McNemar test gave lower p values and rejecied the null hypothesis of equal performance more frequently than the z-test. We therefore recommend considering their use. Numéro de notice : A2006-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500275762 En ligne : https://doi.org/10.1080/01431160500275762 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27787 [article]

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