Learning or assessment of classification algorithms relying on biased ground truth data: what interest?
نویسندگان
چکیده
منابع مشابه
Effect of Errors in Ground Truth on Classification Accuracy
The effect of errors in ground truth on the estimated thematic accuracy of a classifier is considered. A relationship is derived between the true accuracy of a classifier relative to ground truth without errors, the actual accuracy of the ground truth used, and the measured accuracy of the classifier as a function of the number of classes. We show that if the accuracy of the ground truth is kno...
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ژورنال
عنوان ژورنال: Journal of Applied Remote Sensing
سال: 2019
ISSN: 1931-3195
DOI: 10.1117/1.jrs.13.034522