Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 36, Issue 23, Pages 5959-5969Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161.2015.1110265
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Accuracy assessment of classified imagery is an important task in remote sensing. A commonly used approach for assessing classification accuracy is based on the error matrix. The error matrix can be summarized by overall and category accuracy measures, e.g. the overall agreement and the user's and producer's accuracies. Two relatively new measures are the so-called quantity disagreement and allocation disagreement. In this article, relative versions of the category-level variants of these measures are defined. It is also shown how the new category measures are related to the overall quantity and allocation disagreement measures.
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