Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects-Reference-Cited by-同舟云学术

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

Published:2022 Issue: Volume:15 Page:968-999
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 Muhammad^ORCID,Shabbir Sidrah,Roy Swalpa Kumar^ORCID,Hong Danfeng^ORCID,Wu Xin^ORCID,Yao Jing^ORCID,Khan Adil Mehmood^ORCID,Mazzara Manuel^ORCID,Distefano Salvatore,Chanussot Jocelyn^ORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

MIAI@Grenoble Alpes

AXA Research Fund

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

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09645266.pdf?arnumber=9645266

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