IEEE Transactions on Geoscience and Remote Sensing, volume 62, pages 1-13
Towards Cross-domain Class-incremental Remote Sensing Scene Classification
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First Institute of Oceanography, Laboratory of Marine Physics and Remote Sensing, Ministry of Natural Resources, Qingdao, China
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Laboratory of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
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Publication type: Journal Article
Publication date: 2024-09-03
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SJR: 2.403
CiteScore: 11.5
Impact factor: 7.5
ISSN: 01962892, 15580644
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Zhang L. et al. Towards Cross-domain Class-incremental Remote Sensing Scene Classification // IEEE Transactions on Geoscience and Remote Sensing. 2024. Vol. 62. pp. 1-13.
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Zhang L., Fu S., Wang W., Ren P., Peng Q., Ren G., Liu B. Towards Cross-domain Class-incremental Remote Sensing Scene Classification // IEEE Transactions on Geoscience and Remote Sensing. 2024. Vol. 62. pp. 1-13.
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TY - JOUR
DO - 10.1109/tgrs.2024.3453415
UR - https://ieeexplore.ieee.org/document/10663907/
TI - Towards Cross-domain Class-incremental Remote Sensing Scene Classification
T2 - IEEE Transactions on Geoscience and Remote Sensing
AU - Zhang, Li
AU - Fu, Sichao
AU - Wang, Wuli
AU - Ren, Peng
AU - Peng, Qinmu
AU - Ren, Guangbo
AU - Liu, Baodi
PY - 2024
DA - 2024/09/03
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1-13
VL - 62
SN - 0196-2892
SN - 1558-0644
ER -
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@article{2024_Zhang,
author = {Li Zhang and Sichao Fu and Wuli Wang and Peng Ren and Qinmu Peng and Guangbo Ren and Baodi Liu},
title = {Towards Cross-domain Class-incremental Remote Sensing Scene Classification},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {2024},
volume = {62},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {sep},
url = {https://ieeexplore.ieee.org/document/10663907/},
pages = {1--13},
doi = {10.1109/tgrs.2024.3453415}
}