A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images.

Sensors (Basel) · 2017 · PMC5677362 · PMID 29064416

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Stratified heterogeneity is most likely to be significant if the spectral values within the segments are homogeneous or the variances within the segments approach zero; the heterogeneity of a segmentation equals zero when there is no difference between the segments.

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