Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index

Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index

In this paper, we propose an approach to the classification of high-resolution hyperspectral images in the applied problem of identification of vegetation types. A modified spectral-spatial convolutional neural network with compensation for illumination variations is used as a classifier. For genera...

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Bibliographic Details
Main Authors: N. Firsov, V. Podlipnov, N. Ivliev, P. Nikolaev, S. Mashkov, P. Ishkin, R. Skidanov, A. Nikonorov
Format: Article
Language:English
Published: Samara National Research University 2021-12-01
Series:Компьютерная оптика
Subjects:
hyperspectral images
vegetation index
convolutional neural networks
Online Access:https://computeroptics.ru/eng/KO/Annot/KO45-6/450613e.html

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https://computeroptics.ru/eng/KO/Annot/KO45-6/450613e.html

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