| A new sub-pixel mapping algorithm based on a BP neural network with an observation model L Zhang, K Wu, Y Zhong, P Li Neurocomputing 71 (10-12), 2046-2054, 2008 | 205 | 2008 |
| Semisupervised classification based on SLIC segmentation for hyperspectral image Y Zhang, K Liu, Y Dong, K Wu, X Hu IEEE Geoscience and Remote Sensing Letters 17 (8), 1440-1444, 2019 | 86 | 2019 |
| A discriminative manifold learning based dimension reduction method for hyperspectral classification B Du, L Zhang, L Zhang, T Chen, K Wu International Journal of Fuzzy Systems 14 (2), 272-277, 2012 | 64 | 2012 |
| Supervised sub-pixel mapping for change detection from remotely sensed images with different resolutions K Wu, Q Du, Y Wang, Y Yang Remote Sensing 9 (3), 284, 2017 | 43 | 2017 |
| Pure endmember extraction using robust kernel archetypoid analysis for hyperspectral imagery W Sun, G Yang, K Wu, W Li, D Zhang ISPRS Journal of Photogrammetry and Remote Sensing 131, 147-159, 2017 | 37 | 2017 |
| Lithology classification using TASI thermal infrared hyperspectral data with convolutional neural networks H Liu, K Wu, H Xu, Y Xu Remote Sensing 13 (16), 3117, 2021 | 36 | 2021 |
| Multitask learning-based reliability analysis for hyperspectral target detection Y Zhang, K Wu, B Du, X Hu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 34 | 2019 |
| Hyperspectral image classification using spectral–spatial token enhanced transformer with hash-based positional embedding K Wu, J Fan, P Ye, M Zhu IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 29 | 2023 |
| A novel approach to subpixel land-cover change detection based on a supervised back-propagation neural network for remotely sensed images with different resolutions K Wu, Y Zhong, X Wang, W Sun IEEE Geoscience and Remote Sensing Letters 14 (10), 1750-1754, 2017 | 28 | 2017 |
| Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery K Wu, L Zhang, R Niu, B Du, Y Wang Optical Engineering 50 (12), 126201-126201-14, 2011 | 26 | 2011 |
| Hyperspectral target detection via adaptive joint sparse representation and multi-task learning with locality information Y Zhang, K Wu, B Du, L Zhang, X Hu Remote Sensing 9 (5), 482, 2017 | 25 | 2017 |
| Enhanced spectral–spatial residual attention network for hyperspectral image classification Y Zhan, K Wu, Y Dong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 19 | 2022 |
| Hyperspectral anomaly detection with Otsu-based isolation forest Y Zhang, Y Dong, K Wu, T Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 19 | 2021 |
| Subpixel change detection of multitemporal remote sensed images using variability of endmembers K Wu, Q Du IEEE Geoscience and Remote Sensing Letters 14 (6), 796-800, 2017 | 18 | 2017 |
| Lithology intelligent identification using support vector machine and adaptive cellular automata in multispectral remote sensing image X Wang, R Niu, K Wu Optical engineering 50 (7), 076201-076201-12, 2011 | 17 | 2011 |
| Sub-pixel mapping of remote sensing image based on MAP model K Wu, P Li, L Zhang Fourth International Conference on Image and Graphics (ICIG 2007), 742-746, 2007 | 16 | 2007 |
| Hyperspectral image target detection via integrated background suppression with adaptive weight selection K Wu, G Xu, Y Zhang, B Du Neurocomputing 315, 59-67, 2018 | 14 | 2018 |
| Classification of complex urban fringe land cover using evidential reasoning based on fuzzy rough set: a case study of Wuhan City Y Yang, Y Wang, K Wu, X Yu Remote Sensing 8 (4), 304, 2016 | 14 | 2016 |
| Long-term spatiotemporal variation of net primary productivity and its correlation with the urbanization: a case study in Hubei Province, China K Wu, C Zhou, Y Zhang, Y Xu Frontiers in Environmental Science 9, 808401, 2022 | 13 | 2022 |
| Thorium distribution on the lunar surface observed by Chang’E-2 gamma-ray spectrometer X Wang, X Zhang, K Wu Astrophysics and Space Science 361, 1-11, 2016 | 13 | 2016 |
