A Hybrid Capsule Network for Hyperspectral Image Classification
Limited training data, high dimensionality, image complexity, and similarity between classes are challenges confronting hyperspectral image (HSI) classification often resulting in suboptimal classification performance. The capsule network (CapsNet) preserves the hierarchy between different parts of...
Enregistré dans:
Auteurs principaux: | Massoud Khodadadzadeh, Xuemei Ding, Priyanka Chaurasia, Damien Coyle |
---|---|
Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/56cf8cfa274e417e809e64db5b0f38b9 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Patch-Free Bilateral Network for Hyperspectral Image Classification Using Limited Samples
par: Bing Liu, et autres
Publié: (2021) -
LiteSCANet: An Efficient Lightweight Network Based on Spectral and Channel-Wise Attention for Hyperspectral Image Classification
par: Su Qiao, et autres
Publié: (2021) -
Hyperspectral Image Classification Based on Multilevel Joint Feature Extraction Network
par: Xiaochen Lu, et autres
Publié: (2021) -
Hyperspectral Unmixing Based on Spectral and Sparse Deep Convolutional Neural Networks
par: Lulu Wan, et autres
Publié: (2021) -
Graph-Based Logarithmic Low-Rank Tensor Decomposition for the Fusion of Remotely Sensed Images
par: Fei Ma, et autres
Publié: (2021)