SAR target recognition via joint sparse representation of monogenic signal G Dong, G Kuang, N Wang, L Zhao, J Lu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 220 | 2015 |
A review of the autoencoder and its variants: A comparative perspective from target recognition in synthetic-aperture radar images G Dong, G Liao, H Liu, G Kuang IEEE Geoscience and Remote Sensing Magazine 6 (3), 44-68, 2018 | 195 | 2018 |
Classification on the monogenic scale space: Application to target recognition in SAR image G Dong, G Kuang IEEE Transactions on Image Processing 24 (8), 2527-2539, 2015 | 155 | 2015 |
Sparse representation of monogenic signal: With application to target recognition in SAR images G Dong, N Wang, G Kuang IEEE signal processing letters 21 (8), 952-956, 2014 | 139 | 2014 |
Classification via sparse representation of steerable wavelet frames on Grassmann manifold: Application to target recognition in SAR image G Dong, G Kuang, N Wang, W Wang IEEE Transactions on Image Processing 26 (6), 2892-2904, 2017 | 80 | 2017 |
Target recognition via information aggregation through Dempster–Shafer's evidence theory G Dong, G Kuang IEEE Geoscience and Remote Sensing Letters 12 (6), 1247-1251, 2015 | 73 | 2015 |
Target recognition in SAR images via classification on Riemannian manifolds G Dong, G Kuang IEEE Geoscience and Remote Sensing Letters 12 (1), 199-203, 2014 | 71 | 2014 |
SAR target recognition via sparse representation of monogenic signal on Grassmann manifolds G Dong, G Kuang IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens 9, 1308-1319, 2016 | 61 | 2016 |
SAR target recognition via local sparse representation of multi-manifold regularized low-rank approximation M Yu, G Dong, H Fan, G Kuang Remote Sensing 10 (2), 211, 2018 | 59 | 2018 |
Superresolution downward-looking linear array three-dimensional SAR imaging based on two-dimensional compressive sensing S Zhang, G Dong, G Kuang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 50 | 2016 |
Truncated SVD-based compressive sensing for downward-looking three-dimensional SAR imaging with uniform/nonuniform linear array S Zhang, Y Zhu, G Dong, G Kuang IEEE Geoscience and Remote Sensing Letters 12 (9), 1853-1857, 2015 | 46 | 2015 |
Matrix completion for downward-looking 3-D SAR imaging with a random sparse linear array S Zhang, G Dong, G Kuang IEEE Transactions on Geoscience and Remote Sensing 56 (4), 1994-2006, 2017 | 37 | 2017 |
Adversarial kinetic prototype framework for open set recognition Z Xia, P Wang, G Dong, H Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 29 | 2023 |
Kernel linear representation: application to target recognition in synthetic aperture radar images G Dong, N Wang, G Kuang, Y Zhang Journal of Applied Remote Sensing 8 (1), 083613-083613, 2014 | 28 | 2014 |
Sparsity and low-rank dictionary learning for sparse representation of monogenic signal G Dong, N Wang, G Kuang, H Qiu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 22 | 2017 |
Spatial location constraint prototype loss for open set recognition Z Xia, P Wang, G Dong, H Liu Computer Vision and Image Understanding 229, 103651, 2023 | 20 | 2023 |
Global receptive-based neural network for target recognition in SAR images G Dong, H Liu IEEE Transactions on Cybernetics 51 (4), 1954-1967, 2019 | 20 | 2019 |
Target recognition in SAR images via sparse representation in the frequency domain G Dong, H Liu, G Kuang, J Chanussot Pattern Recognition 96, 106972, 2019 | 18 | 2019 |
Refocusing moving ship targets in SAR images based on fast minimum entropy phase compensation X Huang, K Ji, X Leng, G Dong, X Xing Sensors 19 (5), 1154, 2019 | 17 | 2019 |
SAR image classification by exploiting adaptive contextual information and composite kernels D Guan, D Xiang, G Dong, T Tang, X Tang, G Kuang IEEE Geoscience and Remote Sensing Letters 15 (7), 1035-1039, 2018 | 17 | 2018 |