IEEE Transactions on Circuits and Systems for Video Technology, volume 34, issue 12, pages 13213-13225

Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection

Publication typeJournal Article
Publication date2024-12-01
Q1
Q1
SJR2.299
CiteScore13.8
Impact factor8.3
ISSN10518215, 15582205
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GOST Copy
Zhang Y. et al. Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection // IEEE Transactions on Circuits and Systems for Video Technology. 2024. Vol. 34. No. 12. pp. 13213-13225.
GOST all authors (up to 50) Copy
Zhang Y., Jianwen Q., Wang X., Cai Z., Jiangtao Peng J. P., Zhou Y. Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection // IEEE Transactions on Circuits and Systems for Video Technology. 2024. Vol. 34. No. 12. pp. 13213-13225.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1109/tcsvt.2024.3439369
UR - https://ieeexplore.ieee.org/document/10623736/
TI - Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection
T2 - IEEE Transactions on Circuits and Systems for Video Technology
AU - Zhang, Yongshan
AU - Jianwen, Qi
AU - Wang, Xinxin
AU - Cai, Zhihua
AU - Jiangtao Peng, Jiangtao Peng
AU - Zhou, Yicong
PY - 2024
DA - 2024/12/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 13213-13225
IS - 12
VL - 34
SN - 1051-8215
SN - 1558-2205
ER -
BibTex |
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BibTex (up to 50 authors) Copy
@article{2024_Zhang,
author = {Yongshan Zhang and Qi Jianwen and Xinxin Wang and Zhihua Cai and Jiangtao Peng Jiangtao Peng and Yicong Zhou},
title = {Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
year = {2024},
volume = {34},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {dec},
url = {https://ieeexplore.ieee.org/document/10623736/},
number = {12},
pages = {13213--13225},
doi = {10.1109/tcsvt.2024.3439369}
}
MLA
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MLA Copy
Zhang, Yongshan, et al. “Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection.” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 12, Dec. 2024, pp. 13213-13225. https://ieeexplore.ieee.org/document/10623736/.
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