Masked Auto-Encoding Spectral–Spatial Transformer for Hyperspectral Image Classification

Author:

Ibanez Damian1ORCID,Fernandez-Beltran Ruben2ORCID,Pla Filiberto1ORCID,Yokoya Naoto3ORCID

Affiliation:

1. Institute of New Imaging Technologies, University Jaume I, Castellón de la Plana, Spain

2. Department of Computer Science and Systems, University of Murcia, Murcia, Spain

3. Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

Funder

Ministerio de Ciencia e Innovación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 34 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. Hyperspectral Image Classification via Inverse Mahalanobis Attention Network;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. An efficient Transformer with neighborhood contrastive tokenization for hyperspectral images classification;International Journal of Applied Earth Observation and Geoinformation;2024-07

3. Hyperspectral Image Classification Based on Double-Branch Multi-Scale Dual-Attention Network;Remote Sensing;2024-06-07

4. Composite spectral spatial pixel CNN for land-use hyperspectral image classification with hybrid activation function;Multimedia Tools and Applications;2024-05-15

5. Considering Autoregressive Integrated Moving Average Models for Hyper Spectral Image Recognition;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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