Delineation of vine parcels by segmentation of high resolution remote sensed images
| Autor: | Franck Michelet, Olivier Lavialle, Christian Germain, Gilbert Grenier, Jean Costa |
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| Rok vydání: | 2007 |
| Předmět: |
Pixel
business.industry Computer science Computation Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Vineyard Thresholding Field (computer science) Segmentation Computer vision Artificial intelligence General Agricultural and Biological Sciences business Remote sensing |
| Zdroj: | Precision Agriculture. 8:95-110 |
| ISSN: | 1573-1618 1385-2256 |
| DOI: | 10.1007/s11119-007-9031-3 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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