Spatial Entropy for the Measurement of the Spatial Accuracy of Classified Remote Sensing Imagery

Didier G. Leibovici*, Giles M. Foody and Doreen Boyd
School of Geography University of Nottingham Nottingham, United Kingdom

Abstract: Accuracy assessment is now widely accepted as an integral part of any mapping programme from remote sensing. Accuracy assessments are usually performed on either a global basis or at class level without consideration of spatial properties. Analysing the spatial distribution of the accuracy may be valuable, especially in providing information that aids evaluation of the quality of the derived map and of the methods used in its production. The paper focuses on spatial accuracy measurements and their spatial pattern using statistics, taking into account proximities of accurate and non accurate pixel values (e.g. classified image versus a reference). A methodological framework using spatial entropy measures based on co-occurrences of the predicates (accurate and non- accurate values) is described and illustrated with a one-class classification of land cover from Landsat ETM+ data.

Keywords: Remote Sensing; land cover; Accuracy; Spatial Pattern; Entropy; Scale

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