Cargando…
ADFSNet: An Adaptive Domain Feature Separation Network for the Classification of Wheat Seed Using Hyperspectral Images
Wheat seed classification is a critical task for ensuring crop quality and yield. However, the characteristics of wheat seeds can vary due to variations in climate, soil, and other environmental factors across different years. Consequently, the present classification model is no longer adequate for...
Autores principales: | Zhao, Xin, Liu, Shuo, Que, Haotian, Huang, Min, Zhu, Qibing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575222/ https://www.ncbi.nlm.nih.gov/pubmed/37836946 http://dx.doi.org/10.3390/s23198116 |
Ejemplares similares
-
Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification
por: Orozco, Jairo, et al.
Publicado: (2023) -
Single Seed Near-Infrared Hyperspectral Imaging for Classification of Perennial Ryegrass Seed
por: Reddy, Priyanka, et al.
Publicado: (2023) -
Application of hyperspectral imaging and chemometrics for variety classification of maize seeds
por: Zhao, Yiying, et al.
Publicado: (2018) -
Nondestructive Classification of Soybean Seed Varieties by Hyperspectral Imaging and Ensemble Machine Learning Algorithms
por: Wei, Yanlin, et al.
Publicado: (2020) -
Asymmetric coordinate attention spectral-spatial feature fusion network for hyperspectral image classification
por: Cheng, Shuli, et al.
Publicado: (2021)