Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis

Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis

Variety classification is an important step in seed quality testing. This study introduces t-distributed stochastic neighbourhood embedding (t-SNE), a manifold learning algorithm, into the field of hyperspectral imaging (HSI) and proposes a method for classifying seed varieties. Images of 800 maize...

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Bibliographic Details
Main Authors: Aimin Miao, Jiajun Zhuang, Yu Tang, Yong He, Xuan Chu, Shaoming Luo
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
hyperspectral imaging
waxy maize
variety classification
t-SNE
procrustes analysis
Online Access:https://www.mdpi.com/1424-8220/18/12/4391

Internet

https://www.mdpi.com/1424-8220/18/12/4391

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