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Delineation of Vine Parcels by Segmentation of High Resolution Remote Sensed Images

Abstract : Field delineation is an essential preliminary step for the design of management maps for grape production. In this paper, we propose a new algorithm for the segmentation of vine fields based on high-resolution remote sensed images. This algorithm takes into account the textural properties of vine images. It leads to the computation of a textural attribute on which a simple thresholding operation then allows us to discriminate between vine field and non-vine field pixels. The feasibility of the automatic delineation is illustrated on a range of vineyard images with various inter-row distances, grass covers, perspective distortions and side perturbations. In most cases it produces precise delineation of field borders while the parcel under consideration remains separate from the rest of the image.
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Contributor : Christian Germain Connect in order to contact the contributor
Submitted on : Monday, August 6, 2007 - 5:19:23 PM
Last modification on : Monday, November 26, 2018 - 1:30:05 PM
Long-term archiving on: : Friday, April 9, 2010 - 12:23:05 AM


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Jean-Pierre da Costa, Franck Michelet, Christian Germain, Olivier Lavialle, Gilbert Grenier. Delineation of Vine Parcels by Segmentation of High Resolution Remote Sensed Images. Precision Agriculture, Springer Verlag, 2007, 8 (1-2), pp.95-110. ⟨10.1007/s11119-007-9031-3⟩. ⟨hal-00166474⟩



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