Capsule Attention Network for Hyperspectral Image Classification

Capsule Attention Network for Hyperspectral Image Classification

While many neural networks have been proposed for hyperspectral image classification, current backbones cannot achieve accurate results due to the insufficient representation by scalar features and always cause a cumbersome calculation burden. To solve the problem, we propose the capsule attention n...

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Bibliographic Details
Main Authors: Nian Wang, Aitao Yang, Zhigao Cui, Yao Ding, Yuanliang Xue, Yanzhao Su
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
HSI classification
capsule network
attention-based feature extraction
self-weighted mechanism
Online Access:https://www.mdpi.com/2072-4292/16/21/4001

Internet

https://www.mdpi.com/2072-4292/16/21/4001

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