Smaller is better? Unduly nice accuracy assessments in image classification due to spatial autocorrelation in identification of small sized objects

Deriving the thematic accuracy of models is a fundamental part of image classification analyses. However, due to high spatial autocorrelation in remotely sensed imagery, accuracy assessments can be biased, which leads to relevant overestimation of accuracies.

Related Organizations

University of Debrecen
Hungary

Keywords

roof classification, accuracy assessment

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