| WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network … Y Zhong, X Hu, C Luo, X Wang, J Zhao, L Zhang Remote Sensing of Environment 250, 112012, 2020 | 292 | 2020 |
| Mini-UAV-borne hyperspectral remote sensing: From observation and processing to applications Y Zhong, X Wang, Y Xu, S Wang, T Jia, X Hu, J Zhao, L Wei, L Zhang IEEE Geoscience and Remote Sensing Magazine 6 (4), 46-62, 2018 | 238 | 2018 |
| A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions J Zhao, Y Zhong, X Hu, L Wei, L Zhang Remote Sensing of Environment 239, 111605, 2020 | 74 | 2020 |
| An improved gradient boosting regression tree estimation model for soil heavy metal (Arsenic) pollution monitoring using hyperspectral remote sensing L Wei, Z Yuan, Y Zhong, L Yang, X Hu, Y Zhang Applied Sciences 9 (9), 1943, 2019 | 73 | 2019 |
| Deep learning-based crop mapping in the cloudy season using one-shot hyperspectral satellite imagery S Meng, X Wang, X Hu, C Luo, Y Zhong Computers and Electronics in Agriculture 186, 106188, 2021 | 59 | 2021 |
| Inland waters suspended solids concentration retrieval based on PSO-LSSVM for UAV-borne hyperspectral remote sensing imagery L Wei, C Huang, Y Zhong, Z Wang, X Hu, L Lin Remote Sensing 11 (12), 1455, 2019 | 47 | 2019 |
| Multiobjective hyperspectral feature selection based on discrete sine cosine algorithm Y Wan, A Ma, Y Zhong, X Hu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3601-3618, 2020 | 45 | 2020 |
| Spatial–spectral fusion based on conditional random fields for the fine classification of crops in UAV-borne hyperspectral remote sensing imagery L Wei, M Yu, Y Zhong, J Zhao, Y Liang, X Hu Remote Sensing 11 (7), 780, 2019 | 43 | 2019 |
| Optimal temporal window selection for winter wheat and rapeseed mapping with Sentinel-2 images: a case study of Zhongxiang in China S Meng, Y Zhong, C Luo, X Hu, X Wang, S Huang Remote Sensing 12 (2), 226, 2020 | 42 | 2020 |
| SPNet: Spectral patching end-to-end classification network for UAV-borne hyperspectral imagery with high spatial and spectral resolutions X Hu, Y Zhong, X Wang, C Luo, J Zhao, L Lei, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 40* | 2021 |
| Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya H Zhao, Y Zhong, X Wang, X Hu, C Luo, M Boitt, R Piiroinen, L Zhang, ... ISPRS Journal of Photogrammetry and Remote Sensing 187, 328-344, 2022 | 35 | 2022 |
| Tailings reservoir disaster and environmental monitoring using the UAV-ground hyperspectral joint observation and processing: a case of study in Xinjiang, the belt and road Y Wan, X Hu, Y Zhong, A Ma, L Wei, L Zhang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 35 | 2019 |
| DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery L Lei, X Wang, Y Zhong, H Zhao, X Hu, C Luo International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 31 | 2021 |
| S3ANet: Spectral-spatial-scale attention network for end-to-end precise crop classification based on UAV-borne H2 imagery X Hu, X Wang, Y Zhong, L Zhang ISPRS Journal of Photogrammetry and Remote Sensing 183, 147-163, 2022 | 25 | 2022 |
| A self-supervised denoising network for satellite-airborne-ground hyperspectral imagery X Wang, Z Luo, W Li, X Hu, L Zhang, Y Zhong IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 17 | 2021 |
| Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification J Li, X Wang, H Zhao, X Hu, Y Zhong International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 16 | 2022 |
| Cropnet: Deep spatial-temporal-spectral feature learning network for crop classification from time-series multi-spectral images C Luo, S Meng, X Hu, X Wang, Y Zhong IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 13 | 2020 |
| LWIR hyperspectral image classification based on a temperature-emissivity residual network and conditional random field model L Cao, J He, L Gao, Y Zhong, X Hu, Z Li International Journal of Remote Sensing 43 (10), 3744-3768, 2022 | 6 | 2022 |
| Cropland product fusion method based on the overall consistency difference: a case study of China Y Zhong, C Luo, X Hu, L Wei, X Wang, S Jin Remote Sensing 11 (9), 1065, 2019 | 6 | 2019 |
| Satellite‐air‐ground integrated multi‐source earth observation and machine learning processing brain for tailings reservoir monitoring and rapid emergency response Y Wan, Y Zhong, A Ma, X Hu, L Wei Land Degradation & Development 34 (7), 1941-1959, 2023 | 5 | 2023 |
Xinyu WangWuhan University在 whu.edu.cn 的电子邮件经过验证
