Vine parcel detection in aerial images combining textural and structural approaches

G. Rabatel; C. Debain; M. Deshayes

Vine parcel detection in aerial images combining textural and structural approaches

In: Precision Agriculture â05

Authors:

G. Rabatel

G. Rabatel ¹Cemagref, 361 rue J-F Breton, BP 5095, 34196 Montpellier Cedex 5, France
gilles.rabatel@montpellier.cemagref.fr

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C. Debain

C. Debain ²Cemagref, 24 avenue des Landais, BP 50085, 63172 AubiÃ¨res, France

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M. Deshayes

M. Deshayes ³Maison de la TÃ©lÃ©dÃ©tection, 500 rue JF Breton, 34093 Montpellier Cedex 5, France

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Type:: Chapter

Pages:: 923â931

DOI:: https://doi.org/10.3920/978-90-8686-549-9_113

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Aerial images with submetre resolution now offer the opportunity of new agricultural management applications. In the Bacchus European project, the general objective is to propose improved methodologies to get required information on vine area location and characteristics. For this purpose, image processing algorithms for automatic vineyard detection have been developed, which are based on textural analysis. Shape regularity constraints have also been introduced to improve the image segmentation. Finally, the vineyard plots detected from these previous steps are checked and characterised using a Fourier spectrum analysis. The whole process has been applied on a test image representing a vineyard crop area of about 0.5 km², showing very good segmentation performance.

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Precision Agriculture â05

E-Book ISBN:: 9789086865499

Publisher:: Wageningen Academic

Print Publication Date:: 24 Oct 2005

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Vine parcel detection in aerial images combining textural and structural approaches

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Precision Agriculture â05

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Precision Agriculture â05