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Delineation of Vine Fields 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 allows us to discriminate between vine field and non-vine field pixels. Our approach has been successfully tested on a wide range of vineyard images. A precise delineation of the field borders is obtained and the plot of interest is kept separate from the rest of the image.
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https://hal.archives-ouvertes.fr/hal-00167893
Contributor : Christian Germain Connect in order to contact the contributor
Submitted on : Thursday, August 23, 2007 - 4:12:04 PM
Last modification on : Monday, November 26, 2018 - 1:30:05 PM

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  • HAL Id : hal-00167893, version 1

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Franck Michelet, Jean-Pierre da Costa, Christian Germain, Olivier Lavialle, Gilbert Grenier. Delineation of Vine Fields by Segmentation of High Resolution Remote Sensed Images. European Conference on Precision Agriculture, 2005, Jun 2005, Uppsala, Sweden. 8 p. ⟨hal-00167893⟩

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