Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Fan Ruihan¹,Tong Lei¹^ORCID,Zhou Jun²^ORCID,Guo Baoqing³,Xiao Chuangbai¹^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. School of Information and Communication Technology, Griffith University, Nathan, Australia

3. State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China

Funder

State Key Laboratory of Advanced Rail Autonomous Operation

Open and Cooperative Fund of the Engineering Research Center of the Ministry of Education on Reliability and Testing Technology of Rail Transit Equipment

Beijing University of Technology “Urban Carbon Neutrality” and “Urban Renewal” Science and Technology Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10574833.pdf?arnumber=10574833

Reference16 articles.

1. Hyperspectral Image Classification With Independent Component Discriminant Analysis

2. Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

3. Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

4. Stochastic Depth Residual Network for Hyperspectral Image Classification

5. Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification

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