Liu, Shuang, Fu, Chuan, Duan, Yule, Wang, Xiaopan, Luo, Fulin (2025) Spatial–Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3523578
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | Spatial–Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples | ||
Journal | IEEE Transactions on Geoscience and Remote Sensing | ||
Authors | Liu, Shuang | Author | |
Fu, Chuan | Author | ||
Duan, Yule | Author | ||
Wang, Xiaopan | Author | ||
Luo, Fulin | Author | ||
Year | 2025 | Volume | 63 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) | ||
DOI | doi:10.1109/tgrs.2024.3523578Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 17963695 | Long-form Identifier | mindat:1:5:17963695:0 |
GUID | 0 | ||
Full Reference | Liu, Shuang, Fu, Chuan, Duan, Yule, Wang, Xiaopan, Luo, Fulin (2025) Spatial–Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3523578 | ||
Plain Text | Liu, Shuang, Fu, Chuan, Duan, Yule, Wang, Xiaopan, Luo, Fulin (2025) Spatial–Spectral Enhancement and Fusion Network for Hyperspectral Image Classification With Few Labeled Samples. IEEE Transactions on Geoscience and Remote Sensing, 63. doi:10.1109/tgrs.2024.3523578 | ||
In | (2025) IEEE Transactions on Geoscience and Remote Sensing Vol. 63. Institute of Electrical and Electronics Engineers (IEEE) |
References Listed
These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.
Not Yet Imported: - journal-article : 10.1109/TCYB.2021.3070577 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
Not Yet Imported: - journal-article : 10.1109/TBDATA.2019.2923243 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: IEEE Transactions on Image Processing - journal-article : 10.1109/TIP.2016.2601268 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | Xia, Junshi, Bombrun, Lionel, Adali, Tulay, Berthoumieu, Yannick, Germain, Christian (2016) Spectral–Spatial Classification of Hyperspectral Images Using ICA and Edge-Preserving Filter via an Ensemble Strategy. IEEE Transactions on Geoscience and Remote Sensing, 54 (8) 4971-4982 doi:10.1109/tgrs.2016.2553842 |
Not Yet Imported: - journal-article : 10.1109/TPAMI.2005.127 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1007/s11554-016-0650-7 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1109/TCYB.2020.2977750 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
![]() | |
![]() | |
Not Yet Imported: - journal-article : 10.1109/TIP.2023.3244414 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
Gu (2023) arXiv:2312.00752 Mamba: Linear-time sequence modeling with selective state spaces | |
Gu () Proc. Int. Conf. Learn. Represent. Efficiently modeling long sequences with structured state spaces , 1 | |
Not Yet Imported: IEEE Transactions on Neural Networks and Learning Systems - journal-article : 10.1109/TNNLS.2022.3182715 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
Not Yet Imported: - journal-article : 10.1109/TCSVT.2022.3218284 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
() | |
![]() | |
Not Yet Imported: - journal-article : 10.1109/TNNLS.2022.3198142 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1016/j.neucom.2021.03.035 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: IEEE Transactions on Geoscience and Remote Sensing - journal-article : 10.1109/TGRS.2022.3197445 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
![]() | Deng, Cheng, Xue, Yumeng, Liu, Xianglong, Li, Chao, Tao, Dacheng (2019) Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 57 (3) 1741-1754 doi:10.1109/tgrs.2018.2868851 |
![]() | |
![]() | |
![]() | |
![]() | Fang, Bei, Li, Ying, Zhang, Haokui, Chan, Jonathan Cheung-Wai (2020) Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples. ISPRS Journal of Photogrammetry and Remote Sensing, 161. 164-178 doi:10.1016/j.isprsjprs.2020.01.015 |
Not Yet Imported: - journal-article : 10.1109/TIP.2017.2772836 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
Not Yet Imported: - journal-article : 10.3390/rs14246308 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.3390/s19071714 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
Not Yet Imported: IEEE Transactions on Neural Networks and Learning Systems - journal-article : 10.1109/TNNLS.2018.2874432 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
![]() | |
Zhu (2024) arXiv:2401.09417 Vision mamba: Efficient visual representation learning with bidirectional state space model | |
![]() | |
![]() | |
Not Yet Imported: - journal-article : 10.1145/3582688 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
![]() | |
() | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
Not Yet Imported: - journal-article : 10.1016/j.jksuci.2023.01.014 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Srivastava (2014) J. Mach. Learn. Res. Dropout: A simple way to prevent neural networks from overfitting 15, 1929 | |
![]() | |
![]() | |
![]() | Pu, Ruiliang, Gong, Peng, Tian, Yong, Miao, Xin, Carruthers, Raymond I., Anderson, Gerald L. (2008) Using classification and NDVI differencing methods for monitoring sparse vegetation coverage: a case study of saltcedar in Nevada, USA. International Journal of Remote Sensing, 29 (14). doi:10.1080/01431160801908095 |
Not Yet Imported: - journal-article : 10.1016/j.protcy.2012.10.074 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1609/aaai.v30i1.10171 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1016/j.knosys.2021.107279 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
Not Yet Imported: - proceedings-article : 10.1117/12.943611 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
Not Yet Imported: - journal-article : 10.1109/TGRS.2022.3207933 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() | |
Kingma (2014) arXiv:1412.6980 Adam: A method for stochastic optimization | |
Not Yet Imported: - journal-article : 10.1109/JSTARS.2021.3099118 If you would like this item imported into the Digital Library, please contact us quoting Journal ID | |
![]() |
See Also
These are possibly similar items as determined by title/reference text matching only.