How Many Independent Samples Does a Satellite Image Contain? Generalization Bounds for Spatially Dependent Data

Machine learning classifiers for remote sensing imagery are typically evaluated as though every pixel were an independent sample. Spatial autocorrelation violates this assumption, since neighboring pixels carry redundant information which inflates sample sizes.