Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards - Archive ouverte HAL
Article Dans Une Revue Remote Sensing Année : 2019

Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards

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hal-02294893 , version 1 (23-09-2019)

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Florian Rançon, Lionel Bombrun, Barna Keresztes, Christian Germain. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards. Remote Sensing, 2019, 11 (1), pp.1. ⟨10.3390/rs11010001⟩. ⟨hal-02294893⟩
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