Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods

Conventional approaches to accuracy assessment for land cover maps produced from remote sensing use either confusion matrices or the Kappa statistic to quantify map quality. These approaches yield global or class-specific measures of map quality by comparing classification results with independent g...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2001-09, Vol.39 (9), p.1959-1968
Hauptverfasser: McIver, D.K., Friedl, M.A.
Format: Artikel
Sprache:eng
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