Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification

Published:2022 Issue: Volume:15 Page:3948-3957
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Ahmad Muhammad¹^ORCID,Khan Adil Mehmood²^ORCID,Mazzara Manuel³^ORCID,Distefano Salvatore⁴,Roy Swalpa Kumar⁵^ORCID,Wu Xin⁶^ORCID

Affiliation:

1. Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Chiniot, Pakistan

2. Institute of Data Science and Artificial Intelligence, Innopolis University, Innopolis, Russia

3. Institute of Software Development and Engineering, Innopolis University, Innopolis, Russia

4. Dipartimento di Matematica e Informatica—MIFT, University of Messina, Messina, Italy

5. Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, West Bengal, India

6. School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Guangxi, China

The Analytical Center for the Government of the Russian Federation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference58 articles.

3. Revisiting deep hyperspectral feature extraction networks via gradient centralized convolution;roy;IEEE Trans Geosci Remote Sens,2021

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