| ADASYN: Adaptive synthetic sampling approach for imbalanced learning H He, Y Bai, EA Garcia, S Li 2008 IEEE international joint conference on neural networks (IEEE world …, 2008 | 7176 | 2008 |
| Image fusion with guided filtering S Li, X Kang, J Hu IEEE Transactions on Image processing 22 (7), 2864-2875, 2013 | 2053 | 2013 |
| Deep learning for hyperspectral image classification: An overview S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson IEEE transactions on geoscience and remote sensing 57 (9), 6690-6709, 2019 | 2039 | 2019 |
| Pixel-level image fusion: A survey of the state of the art S Li, X Kang, L Fang, J Hu, H Yin information Fusion 33, 100-112, 2017 | 1424 | 2017 |
| Multifocus image fusion and restoration with sparse representation B Yang, S Li IEEE transactions on Instrumentation and Measurement 59 (4), 884-892, 2009 | 881 | 2009 |
| Spectral–spatial hyperspectral image classification with edge-preserving filtering X Kang, S Li, JA Benediktsson IEEE transactions on geoscience and remote sensing 52 (5), 2666-2677, 2013 | 792 | 2013 |
| Performance comparison of different multi-resolution transforms for image fusion S Li, B Yang, J Hu Information fusion 12 (2), 74-84, 2011 | 783 | 2011 |
| Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines L He, J Li, C Liu, S Li IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1579-1597, 2017 | 656 | 2017 |
| Hyperspectral image classification with deep feature fusion network W Song, S Li, L Fang, T Lu IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3173-3184, 2018 | 612 | 2018 |
| Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search L Fang, D Cunefare, C Wang, RH Guymer, S Li, S Farsiu Biomedical optics express 8 (5), 2732-2744, 2017 | 582 | 2017 |
| Multifocus image fusion using region segmentation and spatial frequency S Li, B Yang Image and vision computing 26 (7), 971-979, 2008 | 579 | 2008 |
| Fusing hyperspectral and multispectral images via coupled sparse tensor factorization S Li, R Dian, L Fang, JM Bioucas-Dias IEEE Transactions on Image Processing 27 (8), 4118-4130, 2018 | 574 | 2018 |
| Combination of images with diverse focuses using the spatial frequency S Li, JT Kwok, Y Wang Information fusion 2 (3), 169-176, 2001 | 571 | 2001 |
| A new pan-sharpening method using a compressed sensing technique S Li, B Yang IEEE Transactions on Geoscience and Remote Sensing 49 (2), 738-746, 2010 | 512 | 2010 |
| Hyperspectral anomaly detection with attribute and edge-preserving filters X Kang, X Zhang, S Li, K Li, J Li, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5600-5611, 2017 | 481 | 2017 |
| Pixel-level image fusion with simultaneous orthogonal matching pursuit B Yang, S Li Information fusion 13 (1), 10-19, 2012 | 461 | 2012 |
| Group-sparse representation with dictionary learning for medical image denoising and fusion S Li, H Yin, L Fang IEEE Transactions on biomedical engineering 59 (12), 3450-3459, 2012 | 451 | 2012 |
| Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images S Li, JT Kwok, Y Wang Information Fusion 3 (1), 17-23, 2002 | 443 | 2002 |
| Multifocus image fusion using artificial neural networks S Li, JT Kwok, Y Wang Pattern recognition letters 23 (8), 985-997, 2002 | 427 | 2002 |
| Learning a low tensor-train rank representation for hyperspectral image super-resolution R Dian, S Li, L Fang IEEE transactions on neural networks and learning systems 30 (9), 2672-2683, 2019 | 410 | 2019 |
Xudong Kang (康旭东)Hunan UniversityVerified email at hnu.edu.cn
