Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification

Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification

Hyperspectral sensors provide an opportunity to capture the intensity of high spatial/spectral information and enable applications for high-level earth observation missions, such as accurate land cover mapping and target/object detection. Currently, convolutional neural networks (CNNs) are good at c...

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Bibliographic Details
Main Authors: Tianxiang Zhang, Wenxuan Wang, Jing Wang, Yuanxiu Cai, Zhifang Yang, Jiangyun Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
hyperspectral image
deep learning
dual-flow architecture
CNN
Transformer
Online Access:https://www.mdpi.com/2072-4292/14/20/5251

Internet

https://www.mdpi.com/2072-4292/14/20/5251

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