Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification

Graph convolutional neural network architectures combine feature extraction and convolutional layers for hyperspectral image classification. An adaptive neighborhood aggregation method based on statistical variance integrating the spatial information along with the spectral signature of the pixels i...

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Detalles Bibliográficos
Autores principales: Orozco, Jairo, Manian, Vidya, Alfaro, Estefania, Walia, Harkamal, Dhatt, Balpreet K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099153/
https://www.ncbi.nlm.nih.gov/pubmed/37050573
http://dx.doi.org/10.3390/s23073515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099153/
https://www.ncbi.nlm.nih.gov/pubmed/37050573
http://dx.doi.org/10.3390/s23073515

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