Hyperspectral Image Classification Based on Spectrally-Enhanced and Densely Connected Transformer Model-Reference-Cited by-同舟云学术

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Hyperspectral Image Classification Based on Spectrally-Enhanced and Densely Connected Transformer Model

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Wu Yongen¹,Feng Jie¹,Bai Gaiqin¹,Gao Qiyang¹,Zhang Xiangrong¹

Affiliation:

1. Xidian University,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China,710071

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883830.pdf?arnumber=9883830

Reference10 articles.

1. Ensemble Margin Based Semi-Supervised Random Forest for the Classification of Hyperspectral Image with Limited Training Data

2. New margin-based subsampling iterative technique in modified random forests for classification

3. Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification

4. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;ArXiv Preprint,2020

5. Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Cross-Attention-Based Multi-Information Fusion Transformer for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. PAC-UNet: Parallel Dual Self-attention with Convolution for Meniscal MRI Image Segmentation;International Journal on Artificial Intelligence Tools;2023-11-29

3. MFormer: Taming Masked Transformer for Unsupervised Spectral Reconstruction;IEEE Transactions on Geoscience and Remote Sensing;2023

4. Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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