Parameter-Free Attention Network for Spectral–Spatial Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Parameter-Free Attention Network for Spectral–Spatial Hyperspectral Image Classification

Published:2023 Issue: Volume:61 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Paoletti Mercedes E.¹^ORCID,Tao Xuanwen¹^ORCID,Han Lirong¹^ORCID,Wu Zhaoyue¹^ORCID,Moreno-Álvarez Sergio²^ORCID,Roy Swalpa Kumar³^ORCID,Plaza Antonio¹^ORCID,Haut Juan M.¹^ORCID

Affiliation:

1. Departamento de Tecnología de Computadores y Comunicaciones, Escuela Politécnica, Universidad de Extremadura, Cáceres, Spain

2. Departamento de Lenguajes y Sistemas Informáticos, Escuela Politécnica, Universidad de Extremadura, Cáceres, Spain

3. Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India

Funder

Consejer?a de Educaci?n y Empleo, Junta de Extremadura

Ministerio de Ciencia e Innovaci?n

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10188516.pdf?arnumber=10188516

Reference91 articles.

1. Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection

2. A Fast Dense Spectral–Spatial Convolution Network Framework for Hyperspectral Images Classification

3. Hyperspectral Anomaly Detection With Relaxed Collaborative Representation

4. Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification

5. Deep learning classifiers for hyperspectral imaging: A review

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