One-Shot Dense Network with Polarized Attention for Hyperspectral Image Classification

One-Shot Dense Network with Polarized Attention for Hyperspectral Image Classification

In recent years, hyperspectral image (HSI) classification has become a hot research direction in remote sensing image processing. Benefiting from the development of deep learning, convolutional neural networks (CNNs) have shown extraordinary achievements in HSI classification. Numerous methods combi...

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Bibliographic Details
Main Authors: Haizhu Pan, Moqi Liu, Haimiao Ge, Liguo Wang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
convolutional neural network
one-shot dense networks
polarized attention mechanisms
Online Access:https://www.mdpi.com/2072-4292/14/9/2265

Internet

https://www.mdpi.com/2072-4292/14/9/2265

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