A machine learning approach for agricultural parcel delimitation through agglomerative segmentation

García-Pedrero, A.; Gonzalo-Martín, C.; Lillo-Saavedra, M.; Ban, Y.

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.

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Fecha de publicación: 2015
Página de inicio: 68
Página final: 73
Idioma: English