Multiscale Pixel-Level and Superpixel-Level Method for Hyperspectral Image Classification: Adaptive Attention and Parallel Multi-Hop Graph Convolution

Convolutional neural networks (CNNs) and graph convolutional networks (GCNs) have led to promising advancements in hyperspectral image (HSI) classification; however, traditional CNNs with fixed square convolution kernels are insufficiently flexible to handle irregular structures. Similarly, GCNs tha...

Полное описание

Библиографические подробности

Главные авторы:	Junru Yin, Xuan Liu, Ruixia Hou, Qiqiang Chen, Wei Huang, Aiguang Li, Peng Wang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-08-01
Серии:	Remote Sensing
Предметы:	convolutional neural networks (CNNs) graph convolutional networks (GCNs) hyperspectral image (HSI) classification attention mechanism multi-scale features
Online-ссылка:	https://www.mdpi.com/2072-4292/15/17/4235
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!