Spectral–spatial classification of hyperspectral remote sensing image based on capsule network

Spectral–spatial classification of hyperspectral remote sensing image based on capsule network

Hyperspectral image (HSI) classification is a hot topic in remote sensing community; many researchers have made a great deal of effort in this domain. Recently, deep learning-based manner paves a new way to better classification accuracy. However, the flow of information between layers and layers (e...

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Bibliographic Details
Main Authors: Sen Jia, Baojun Zhao, Linbo Tang, Fan Feng, WenZheng Wang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
hyperspectral imaging
learning (artificial intelligence)
feature extraction
image classification
remote sensing
geophysical image processing
convolutional neural nets
hyperspectral remote sensing image
capsule network
hyperspectral image classification
deep learning-based manner
dynamic routing algorithm
2d convolutional layers
capsule layers
capsnet-based framework
hsi classification
deep architecture
spectral–spatial classification framework
cnn-based counterparts
1d convolutional layers
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0526

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0526

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