Per-pixel bias-variance decomposition of continuous errors in data-driven geospatial modeling: A case study in environmental remote sensing
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DOI: 10.1016/j.isprsjprs.2017.11.001
Abstract: Abstract This study investigates the usefulness of a per-pixel bias-variance error decomposition (BVD) for understanding and improving spatially-explicit data-driven models of continuous variables in environmental remote sensing (ERS). BVD is a model evaluation method originated… read more here.
Keywords: pixel bias; per pixel; remote sensing; model ... See more keywords