Abstract

In this work, a methodology to automatically delineate agricultural parcels is proposed. It combines superpixel and supervised classification in order to determine which adjacent superpixel should be merged, transforming the segmentation issue into a machine learning matter. Results of the methodology applied to two areas of a high-resolution satellite image of fragmented agricultural landscape are shown.