A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example

A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example

Analysis of hyperspectral images is of great interest in plant studies. Nowadays, this analysis is used more and more widely, so the development of hyperspectral image processing methods is an urgent task. This paper presents a hyperspectral image processing pipeline that includes: preprocessing, ba...

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Bibliographic Details
Main Authors: I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2024-07-01
Series:Вавиловский журнал генетики и селекции
Subjects:
hyperspectral images
machine learning
statistical analysis
barley grains
pigment composition
Online Access:https://vavilov.elpub.ru/jour/article/view/4187
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