Semantic segmentation of hyperspectral images using convolutional neural networks and the attention mechanism

This paper investigates an effect of the attention mechanism on the accuracy of hyperspectral image segmentation by convolutional neural networks in agriculture. The study compares two modifications of neural network architectures: with and without the attention mechanism. The attention mechanism is...

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Bibliographic Details
Published inKompʹûternaâ optika Vol. 48; no. 6; pp. 894 - 902
Main Authors Gribanov, D.N., Mukhin, A.V., Kilbas, I.A., Paringer, R.A.
Format Journal Article
LanguageEnglish
Published Samara National Research University 01.12.2024
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