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

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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Bibliographic Details
Main Authors: Jairo Orozco, Vidya Manian, Estefania Alfaro, Harkamal Walia, Balpreet K. Dhatt
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
graph convolutional network
adaptive neighborhood
laplacian matrix
hyperspectral image classification
hyperspectral rice seed images
Online Access:https://www.mdpi.com/1424-8220/23/7/3515

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