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Communication Dans Un Congrès Année : 2006

Hyperspectral Image Analysis for Precision Viticulture

Résumé

We analyze the capabilities of CASI data for the discrimination of vine varieties in hyperspectral images. To analyze the discrimination capabilities of the CASI data, principal components analysis and linear discriminant analysis methods are used.We assess the performance of various classification techniques: Multi-layer perceptrons, radial basis function neural networks, and support vector machines. We also discuss the trade-off between spatial and spectral resolutions in the framework of precision viticulture.
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Dates et versions

hal-00169811 , version 1 (05-09-2007)
hal-00169811 , version 2 (26-06-2009)

Identifiants

  • HAL Id : hal-00169811 , version 2

Citer

Marcos Ferreiro-Arman, Jean-Pierre da Costa, Saeid Homayouni, Julio Martin-Herrero. Hyperspectral Image Analysis for Precision Viticulture. International Conference on Image Analysis and Recognition, 2006, Portugal. pp.730-741. ⟨hal-00169811v2⟩
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