Kim, J.[Joseph],
Chi, M.M.[Ming-Min],
SAFFNet: Self-Attention-Based Feature Fusion Network for Remote
Sensing Few-Shot Scene Classification,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Shi, Y.Z.[Yan-Zi],
Li, J.J.[Jiao-Jiao],
Li, Y.S.[Yun-Song],
Du, Q.[Qian],
Sensor-Independent Hyperspectral Target Detection With Semisupervised
Domain Adaptive Few-Shot Learning,
GeoRS(59), No. 8, August 2021, pp. 6894-6906.
IEEE DOI
2108
Object detection, Hyperspectral imaging, Feature extraction,
Adaptation models, Sensors, Task analysis,
sensor-independent hyperspectral target detection (SIHTD)
BibRef
Zeng, Q.J.[Qing-Jie],
Geng, J.[Jie],
Huang, K.[Kai],
Jiang, W.[Wen],
Guo, J.[Jun],
Prototype Calibration with Feature Generation for Few-Shot Remote
Sensing Image Scene Classification,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Jiang, N.[Nan],
Shi, H.W.[Hao-Wen],
Geng, J.[Jie],
Multi-Scale Graph-Based Feature Fusion for Few-Shot Remote Sensing
Image Scene Classification,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zeng, Q.J.[Qing-Jie],
Geng, J.[Jie],
Task-specific contrastive learning for few-shot remote sensing image
scene classification,
PandRS(191), 2022, pp. 143-154.
Elsevier DOI
2208
Remote sensing image, Few-shot learning, Scene classification,
Contrastive learning
BibRef
Zhang, P.[Pei],
Fan, G.L.[Guo-Liang],
Wu, C.[Chanyue],
Wang, D.[Dong],
Li, Y.[Ying],
Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for
Few-Shot Remote Sensing Scene Classification,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Zhao, G.X.[Gui-Xin],
Wang, X.S.[Xue-Song],
Kong, Y.[Yi],
Cheng, Y.[Yuhu],
Spectral-Spatial Joint Classification of Hyperspectral Image Based on
Broad Learning System,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Hu, X.P.[Xiao-Pei],
Zhao, G.X.[Gui-Xin],
Dong, A.[Aimei],
Lv, G.H.[Guo-Hua],
Zhai, Y.[Yi],
Guo, Y.[Ying],
Dong, X.J.[Xiang-Jun],
Few-Shot Hyperspectral Image Classification with Spectral-Spatial
Feature Fusion Based on Fuzzy Broad Learning System,
ICIP23(3160-3164)
IEEE DOI
2312
BibRef
Kong, Y.[Yi],
Wang, X.S.[Xue-Song],
Cheng, Y.[Yuhu],
Chen, C.L.P.[C. L. Philip],
Hyperspectral Imagery Classification Based on Semi-Supervised Broad
Learning System,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Huang, W.D.[Wen-Dong],
Yuan, Z.W.[Zheng-Wu],
Yang, A.X.[Ai-Xia],
Tang, C.[Chan],
Luo, X.B.[Xiao-Bo],
TAE-Net: Task-Adaptive Embedding Network for Few-Shot Remote Sensing
Scene Classification,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Yuan, Z.W.[Zheng-Wu],
Huang, W.D.[Wen-Dong],
Tang, C.[Chan],
Yang, A.[Aixia],
Luo, X.B.[Xiao-Bo],
Graph-Based Embedding Smoothing Network for Few-Shot Scene
Classification of Remote Sensing Images,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Wang, J.Y.[Jia-Yan],
Wang, X.Q.[Xue-Qin],
Xing, L.[Lei],
Liu, B.D.[Bao-Di],
Li, Z.M.[Zong-Min],
Class-Shared SparsePCA for Few-Shot Remote Sensing Scene Classification,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Ma, Y.T.[Yu-Teng],
Meng, J.M.[Jun-Min],
Liu, B.D.[Bao-Di],
Sun, L.[Lina],
Zhang, H.[Hao],
Ren, P.[Peng],
Dictionary Learning for Few-Shot Remote Sensing Scene Classification,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Hamzaoui, M.[Manal],
Chapel, L.[Laetitia],
Pham, M.T.[Minh-Tan],
Lefèvre, S.[Sébastien],
Hyperbolic prototypical network for few shot remote sensing scene
classification,
PRL(177), 2024, pp. 151-156.
Elsevier DOI
2401
Few-shot learning, Hyperbolic space, Scene classification, Remote sensing
BibRef
Dong, Z.[Zhong],
Lin, B.[Baojun],
Xie, F.[Fang],
Optimizing Few-Shot Remote Sensing Scene Classification Based on an
Improved Data Augmentation Approach,
RS(16), No. 3, 2024, pp. 525.
DOI Link
2402
BibRef
Hao, T.[Tao],
Zhang, Z.H.[Zhi-Hua],
Crabbe, M.J.C.[M. James C.],
Few-Shot Hyperspectral Remote Sensing Image Classification via an
Ensemble of Meta-Optimizers with Update Integration,
RS(16), No. 16, 2024, pp. 2988.
DOI Link
2408
BibRef
Liu, B.[Bing],
Zhao, H.W.[Hong-Wei],
Li, J.[Jiao],
Gao, Y.S.[Yan-Sheng],
Zhang, J.R.[Jiang-Rong],
SRL-ProtoNet: Self-supervised representation learning for few-shot
remote sensing scene classification,
IET-CV(18), No. 7, 2024, pp. 1034-1042.
DOI Link
2411
image classification, natural scenes, remote sensing
BibRef
Jia, Y.[Yuyu],
Sun, C.C.[Chen-Chen],
Gao, J.Y.[Jun-Yu],
Wang, Q.[Qi],
Few-shot Remote Sensing Scene Classification via Parameter-free
Attention and Region Matching,
PandRS(227), 2025, pp. 265-275.
Elsevier DOI
2508
Remote sensing, Few-shot learning, Region attention
BibRef
He, R.K.[Rui-Kun],
Zhao, W.[Wenda],
Wang, H.P.[Hai-Peng],
He, Y.[You],
Cross-Domain Few-Shot Remote Sensing Object Classification via
Triplet Relation-Aware Metric,
IP(34), 2025, pp. 6925-6938.
IEEE DOI Code:
WWW Link.
2511
Measurement, Remote sensing, Training, Few shot learning, Semantics,
Feature extraction, Benchmark testing, Prototypes,
cross-domain few-shot learning
BibRef
Zhao, W.[Wenda],
Li, Y.X.[Yun-Xiang],
Wang, H.P.[Hai-Peng],
Lu, H.C.[Hu-Chuan],
First-Order Cross-Domain Meta Learning for Few-Shot Remote Sensing
Object Classification,
PAMI(48), No. 6, June 2026, pp. 6365-6379.
IEEE DOI
2605
Remote sensing, Metalearning, Adaptation models, Training,
Optimization, Few shot learning, Backpropagation, Training data,
learnable affine transformation
BibRef
Liu, J.F.[Jian-Feng],
Du, Y.[Yibo],
Sun, L.[Lifan],
Li, X.Z.[Xiao-Zheng],
Si, Y.[Yanna],
Song, X.L.[Xiao-Li],
Zheng, R.[Ruijuan],
GRCD-Net: Guided Global-Local Relational Learning for Few-Shot
Fine-Grained and Remote Sensing Scene Classification,
RS(18), No. 10, 2026, pp. 1632.
DOI Link
2605
BibRef
Chen, X.L.[Xi-Liang],
Li, L.W.[Long-Wei],
Chen, Y.F.[Yu-Feng],
Liu, L.[Lei],
Wang, Z.Y.[Zhen-Yu],
Liu, M.Q.[Ming-Qing],
Liu, X.J.[Xiao-Jie],
Zhu, G.B.[Guo-Bin],
Few-Shot Remote Sensing Scene Classification via Fusion of Zigzag
Scanning Feature Sequence and Riemannian Geometric Barycenter Network,
RS(18), No. 13, 2026, pp. 2264.
DOI Link
2607
BibRef
Zhang, J.J.[Jun-Jie],
Rao, Y.T.[Yu-Tao],
Huang, X.S.[Xiao-Shui],
Li, G.[Guanyi],
Zhou, X.[Xin],
Zeng, D.[Dan],
Frequency-Aware Multi-Modal Fine-Tuning for Few-Shot Open-Set Remote
Sensing Scene Classification,
MultMed(26), 2024, pp. 7823-7837.
IEEE DOI
2405
Task analysis, Prototypes, Training, Visualization,
Scene classification, Adaptation models, Semantics,
parameter-efficient transfer learning
BibRef
Ding, C.[Chen],
Yue, J.H.[Jia-Hao],
Zheng, S.[Sirui],
Dong, Y.Z.[Yi-Zhuo],
Hua, W.Q.[Wen-Qiang],
Chen, X.L.[Xue-Ling],
Xie, Y.[Yu],
Yan, S.[Song],
Wei, W.[Wei],
Zhang, L.[Lei],
Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot
Hyperspectral Image Classification,
RS(17), No. 15, 2025, pp. 2605.
DOI Link
2508
BibRef
Yang, G.[Gan],
Wang, Z.H.[Zhao-Hui],
A Deep Transfer Contrastive Learning Network for Few-Shot
Hyperspectral Image Classification,
RS(17), No. 16, 2025, pp. 2800.
DOI Link
2509
BibRef
Li, N.Y.[Ning-Yang],
Wang, Z.H.[Zhao-Hui],
Spectral-Spatial Fused Attention Network for Hyperspectral Image
Classification,
ICIP21(3832-3836)
IEEE DOI
2201
Deep learning, Correlation, Redundancy, Feature extraction,
Robustness, Proposals, Hyperspectral image classification, spatial features
BibRef
Zhang, T.Y.[Tian-Yu],
Shi, C.P.[Cui-Ping],
Liao, D.L.[Di-Ling],
Wang, L.G.[Li-Guo],
Deep Spectral Spatial Inverted Residual Network for Hyperspectral
Image Classification,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Pan, H.Z.[Hai-Zhu],
Zhao, X.Y.[Xiao-Yu],
Ge, H.M.[Hai-Miao],
Liu, M.[Moqi],
Shi, C.P.[Cui-Ping],
Hyperspectral Image Classification Based on Multiscale Hybrid
Networks and Attention Mechanisms,
RS(15), No. 11, 2023, pp. 2720.
DOI Link
2306
BibRef
Shi, C.P.[Cui-Ping],
Sun, J.W.[Jing-Wei],
Wang, T.Y.[Tian-Yi],
Wang, L.G.[Li-Guo],
Hyperspectral Image Classification Based on a 3D Octave Convolution
and 3D Multiscale Spatial Attention Network,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Ma, B.[Boran],
Wang, L.G.[Li-Guo],
Wang, H.[Heng],
Hyperspectral Image Classification Based on Two-Branch Multiscale
Spatial Spectral Feature Fusion with Self-Attention Mechanisms,
RS(16), No. 11, 2024, pp. 1888.
DOI Link
2406
BibRef
Shi, C.P.[Cui-Ping],
Sun, J.W.[Jing-Wei],
Wang, L.G.[Li-Guo],
Hyperspectral Image Classification Based on Spectral Multiscale
Convolutional Neural Network,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Pan, H.Z.[Hai-Zhu],
Yan, H.[Hui],
Ge, H.[Haimiao],
Wang, L.G.[Li-Guo],
Shi, C.P.[Cui-Ping],
Pyramid Cascaded Convolutional Neural Network with Graph Convolution
for Hyperspectral Image Classification,
RS(16), No. 16, 2024, pp. 2942.
DOI Link
2408
BibRef
Zhang, T.Y.[Tian-Yu],
Shi, C.P.[Cui-Ping],
Liao, D.L.[Di-Ling],
Wang, L.G.[Li-Guo],
A Spectral Spatial Attention Fusion with Deformable Convolutional
Residual Network for Hyperspectral Image Classification,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Shi, C.P.[Cui-Ping],
Liao, D.L.[Di-Ling],
Zhang, T.Y.[Tian-Yu],
Wang, L.G.[Li-Guo],
Hyperspectral Image Classification Based on 3D Coordination Attention
Mechanism Network,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Pan, H.Z.[Hai-Zhu],
Liu, M.[Moqi],
Ge, H.[Haimiao],
Wang, L.G.[Li-Guo],
One-Shot Dense Network with Polarized Attention for Hyperspectral
Image Classification,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Ge, H.M.[Hai-Miao],
Wang, L.G.[Li-Guo],
Liu, M.[Moqi],
Zhu, Y.X.[Yue-Xia],
Zhao, X.Y.[Xiao-Yu],
Pan, H.Z.[Hai-Zhu],
Liu, Y.Z.[Yan-Zhong],
Two-Branch Convolutional Neural Network with Polarized Full Attention
for Hyperspectral Image Classification,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Yang, J.H.[Jing-Hui],
Qin, J.[Jia],
Qian, J.X.[Jin-Xi],
Li, A.[Anqi],
Wang, L.G.[Li-Guo],
AL-MRIS: An Active Learning-Based Multipath Residual Involution
Siamese Network for Few-Shot Hyperspectral Image Classification,
RS(16), No. 6, 2024, pp. 990.
DOI Link
2403
BibRef
Zhang, Z.Q.[Zhong-Qiang],
Gao, D.[Dahua],
Liu, D.H.[Dan-Hua],
Shi, G.M.[Guang-Ming],
Spectral-Spatial Domain Attention Network for Hyperspectral Image
Few-Shot Classification,
RS(16), No. 3, 2024, pp. 592.
DOI Link
2402
BibRef
Guo, Y.[Ying],
He, M.Y.[Ming-Yi],
Fan, B.[Bin],
Grid-Transformer for Few-Shot Hyperspectral Image Classification,
ICIP23(755-759)
IEEE DOI
2312
BibRef
Zhong, Q.,
Chen, L.,
Qian, Y.,
Few-Shot Learning for Remote Sensing Image Retrieval With MAML,
ICIP20(2446-2450)
IEEE DOI
2011
Image retrieval, Feature extraction, Training, Remote sensing,
Task analysis, Data models, Histograms, Remote sensing, MAML
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Hallucination for Few Shot Learning, Augmentation .