Skip to Main content Skip to Navigation
Journal articles

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.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-00166474
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

File

PRAG26HAL.pdf
Files produced by the author(s)

Identifiers

Citation

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⟩

Share

Metrics

Record views

395

Files downloads

559