| Comprehensive review of deep reinforcement learning methods and applications in economics A Mosavi, Y Faghan, P Ghamisi, P Duan, SF Ardabili, E Salwana, ... Mathematics 8 (10), 1640, 2020 | 237 | 2020 |
| Data science in economics: comprehensive review of advanced machine learning and deep learning methods S Nosratabadi, A Mosavi, P Duan, P Ghamisi, F Filip, SS Band, U Reuter, ... Mathematics 8 (10), 1799, 2020 | 195 | 2020 |
| Hyperspectral anomaly detection with kernel isolation forest S Li, K Zhang, P Duan, X Kang IEEE Transactions on Geoscience and Remote Sensing 58 (1), 319-329, 2019 | 174 | 2019 |
| A novel infrared and visible image fusion algorithm based on shift-invariant dual-tree complex shearlet transform and sparse representation M Yin, P Duan, W Liu, X Liang Neurocomputing 226, 182-191, 2017 | 135 | 2017 |
| Fusion of dual spatial information for hyperspectral image classification P Duan, P Ghamisi, X Kang, B Rasti, S Li, R Gloaguen IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7726-7738, 2020 | 131 | 2020 |
| Deep unsupervised embedding for remotely sensed images based on spatially augmented momentum contrast J Kang, R Fernandez-Beltran, P Duan, S Liu, AJ Plaza IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2598-2610, 2020 | 110 | 2020 |
| Fusion of multiple edge-preserving operations for hyperspectral image classification P Duan, X Kang, S Li, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 57 (12), 10336-10349, 2019 | 110 | 2019 |
| Noise-robust hyperspectral image classification via multi-scale total variation P Duan, X Kang, S Li, P Ghamisi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 101 | 2019 |
| Detection and correction of mislabeled training samples for hyperspectral image classification X Kang, P Duan, X Xiang, S Li, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5673-5686, 2018 | 98 | 2018 |
| Dual-path network-based hyperspectral image classification X Kang, B Zhuo, P Duan IEEE Geoscience and Remote Sensing Letters 16 (3), 447-451, 2018 | 88 | 2018 |
| Hyperspectral anomaly detection with multiscale attribute and edge-preserving filters S Li, K Zhang, Q Hao, P Duan, X Kang IEEE Geoscience and Remote Sensing Letters 15 (10), 1605-1609, 2018 | 77 | 2018 |
| Self-supervised learning-based oil spill detection of hyperspectral images PH Duan, ZJ Xie, XD Kang, ST Li Science China Technological Sciences 65 (4), 793-801, 2022 | 72 | 2022 |
| Hyperspectral remote sensing benchmark database for oil spill detection with an isolation forest-guided unsupervised detector P Duan, X Kang, P Ghamisi, S Li IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | 67 | 2023 |
| Texture-aware total variation-based removal of sun glint in hyperspectral images P Duan, J Lai, J Kang, X Kang, P Ghamisi, S Li ISPRS Journal of Photogrammetry and Remote Sensing 166, 359-372, 2020 | 62 | 2020 |
| Hyperspectral image visualization with edge-preserving filtering and principal component analysis X Kang, P Duan, S Li Information Fusion 57, 130-143, 2020 | 60 | 2020 |
| Attribute filter based infrared and visible image fusion Y Mo, X Kang, P Duan, B Sun, S Li Information Fusion 75, 41-54, 2021 | 57 | 2021 |
| Decolorization-based hyperspectral image visualization X Kang, P Duan, S Li, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4346-4360, 2018 | 50 | 2018 |
| Multilayer global spectral–spatial attention network for wetland hyperspectral image classification Z Xie, J Hu, X Kang, P Duan, S Li IEEE transactions on geoscience and remote sensing 60, 1-13, 2021 | 49 | 2021 |
| Shadow removal of hyperspectral remote sensing images with multiexposure fusion P Duan, S Hu, X Kang, S Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022 | 46 | 2022 |
| Semi-supervised deep learning for hyperspectral image classification X Kang, B Zhuo, P Duan Remote sensing letters 10 (4), 353-362, 2019 | 45 | 2019 |
Xudong Kang (康旭东)Hunan UniversityVerified email at hnu.edu.cn
