Spectral-Spatial Offset Graph Convolutional Networks for Hyperspectral Image Classification

Spectral-Spatial Offset Graph Convolutional Networks for Hyperspectral Image Classification

In hyperspectral image (HSI) classification, convolutional neural networks (CNN) have been attracting increasing attention because of their ability to represent spectral-spatial features. Nevertheless, the conventional CNN models perform convolution operation on regular-grid image regions with a fix...

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Autores principales: Minghua Zhang, Hongling Luo, Wei Song, Haibin Mei, Cheng Su
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
hyperspectral image classification
deep learning
graph convolutional network
offset graph convolution
spectral-spatial features
Science
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Acceso en línea:https://doaj.org/article/cb492dd9d46f47d7ba984d8d0b09d803
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https://doaj.org/article/cb492dd9d46f47d7ba984d8d0b09d803

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