Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

Deep learning models have shown excellent performance in the hyperspectral remote sensing image (HSI) classification. In particular, convolutional neural networks (CNNs) have received widespread attention because of their powerful feature-extraction ability. Recently, a capsule network (CapsNet) was...

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Bibliographic Details
Main Authors: Runmin Lei, Chunju Zhang, Wencong Liu, Lei Zhang, Xueying Zhang, Yucheng Yang, Jianwei Huang, Zhenxuan Li, Zhiyi Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Capsule neural network
convolutional neural network (CNN)
hyperspectral image classification
Online Access:https://ieeexplore.ieee.org/document/9514617/

Internet

https://ieeexplore.ieee.org/document/9514617/

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