Attention-Based Deep Convolutional Capsule Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Attention-Based Deep Convolutional Capsule Network for Hyperspectral Image Classification

Published:2024 Issue: Volume:12 Page:56815-56823
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xiaoxia Zhang¹^ORCID,Xia Zhang²

Affiliation:

1. School of Software Engineering, Chengdu University of Information Technology, Chengdu, China

2. Institute of Intelligent Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10504910.pdf?arnumber=10504910

Reference27 articles.

1. Multi-branch fusion network for hyperspectral image classification

2. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

3. Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification

4. Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

5. Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

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