DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity

DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity

Hyperspectral imaging for seed vigor detection faces the challenges of handling high-dimensional spectral data, information loss after dimensionality reduction, and low feature differentiation between vigor levels. To address the above issues, this study proposes an improved dynamic optimize MDS (DO...

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Bibliographic Details
Main Authors: Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
Subjects:
hyperspectral imaging
machine learning
deep learning
dimensionality reduction algorithm
spectral differentiation
Online Access:https://www.mdpi.com/2077-0472/15/15/1625
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