Ground Truth in Classification Accuracy Assessment: Myth and Reality
(2024)
Journal Article
Foody, G. M. (2024). Ground Truth in Classification Accuracy Assessment: Myth and Reality. Geomatics, 4(1), 81-90. https://doi.org/10.3390/geomatics4010005
The ground reference dataset used in the assessment of classification accuracy is typically assumed implicitly to be perfect (i.e., 100% correct and representing ground truth). Rarely is this assumption valid, and errors in the ground dataset can cau... Read More about Ground Truth in Classification Accuracy Assessment: Myth and Reality.