| A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral UAV images X Zhang, L Han, Y Dong, Y Shi, W Huang, L Han, P González-Moreno, ... Remote Sensing 11 (13), 1554, 2019 | 241 | 2019 |
| Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery Q Xie, J Dash, A Huete, A Jiang, G Yin, Y Ding, D Peng, CC Hall, L Brown, ... International Journal of Applied Earth Observation and Geoinformation 80 …, 2019 | 188 | 2019 |
| New spectral index for detecting wheat yellow rust using Sentinel-2 multispectral imagery Q Zheng, W Huang, X Cui, Y Shi, L Liu Sensors 18 (3), 868, 2018 | 169 | 2018 |
| Detection and discrimination of pests and diseases in winter wheat based on spectral indices and kernel discriminant analysis Y Shi, W Huang, J Luo, L Huang, X Zhou Computers and Electronics in Agriculture 141, 171-180, 2017 | 99 | 2017 |
| Identification of wheat yellow rust using optimal three-band spectral indices in different growth stages Q Zheng, W Huang, X Cui, Y Dong, Y Shi, H Ma, L Liu Sensors 19 (1), 35, 2018 | 89 | 2018 |
| Partial least square discriminant analysis based on normalized two-stage vegetation indices for mapping damage from rice diseases using PlanetScope datasets Y Shi, W Huang, H Ye, C Ruan, N Xing, Y Geng, Y Dong, D Peng Sensors 18 (6), 1901, 2018 | 61 | 2018 |
| Wavelet-based rust spectral feature set (WRSFs): A novel spectral feature set based on continuous wavelet transformation for tracking progressive host–pathogen interaction of … Y Shi, W Huang, P González-Moreno, B Luke, Y Dong, Q Zheng, H Ma, ... Remote sensing 10 (4), 525, 2018 | 59 | 2018 |
| A transformed triangular vegetation index for estimating winter wheat leaf area index N Xing, W Huang, Q Xie, Y Shi, H Ye, Y Dong, M Wu, G Sun, Q Jiao Remote Sensing 12 (1), 16, 2019 | 47 | 2019 |
| Integrating growth and environmental parameters to discriminate powdery mildew and aphid of winter wheat using bi-temporal Landsat-8 imagery H Ma, W Huang, Y Jing, C Yang, L Han, Y Dong, H Ye, Y Shi, Q Zheng, ... Remote Sensing 11 (7), 846, 2019 | 46 | 2019 |
| Novel cropdocnet model for automated potato late blight disease detection from unmanned aerial vehicle-based hyperspectral imagery Y Shi, L Han, A Kleerekoper, S Chang, T Hu Remote Sensing 14 (02), 396, 2022 | 36 | 2022 |
| A latent encoder coupled generative adversarial network (le-gan) for efficient hyperspectral image super-resolution Y Shi, L Han, L Han, S Chang, T Hu, D Dancey IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 35 | 2022 |
| Quantitative identification of crop disease and nitrogen-water stress in winter wheat using continuous wavelet analysis W Huang, J Lu, H Ye, W Kong, AH Mortimer, Y Shi International Journal of Agricultural and Biological Engineering 11 (2), 145-152, 2018 | 33 | 2018 |
| Overwintering Distribution of Fall Armyworm (Spodoptera frugiperda) in Yunnan, China, and Influencing Environmental Factors Y Huang, Y Dong, W Huang, B Ren, Q Deng, Y Shi, J Bai, Y Ren, Y Geng, ... Insects 11 (11), 805, 2020 | 32 | 2020 |
| Evaluation of wavelet spectral features in pathological detection and discrimination of yellow rust and powdery mildew in winter wheat with hyperspectral reflectance data Y Shi, W Huang, X Zhou Journal of applied remote sensing 11 (2), 026025-026025, 2017 | 30 | 2017 |
| The influence of landscape's dynamics on the Oriental Migratory Locust habitat change based on the time-series satellite data Y Shi, W Huang, Y Dong, D Peng, Q Zheng, P Yang Journal of environmental management 218, 280-290, 2018 | 24 | 2018 |
| Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental data Y Ren, W Huang, H Ye, X Zhou, H Ma, Y Dong, Y Shi, Y Geng, Y Huang, ... International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 23 | 2021 |
| A biologically interpretable two-stage deep neural network (BIT-DNN) for vegetation recognition from hyperspectral imagery Y Shi, L Han, W Huang, S Chang, Y Dong, D Dancey, L Han IEEE Transactions on Geoscience and Remote Sensing 60, 1-20, 2021 | 23 | 2021 |
| Integrating early growth information to monitor winter wheat powdery mildew using multi-temporal Landsat-8 imagery H Ma, Y Jing, W Huang, Y Shi, Y Dong, J Zhang, L Liu Sensors 18 (10), 3290, 2018 | 23 | 2018 |
| Progress and prospects of crop diseases and pests monitoring by remote sensing H Wenjiang, S Yue, D Yingying, Y Huichun, W Mingquan, C Bei, L Linyi Smart agriculture 1 (4), 1, 2019 | 22 | 2019 |
| Enhanced regional monitoring of wheat powdery mildew based on an instance-based transfer learning method L Liu, Y Dong, W Huang, X Du, J Luo, Y Shi, H Ma Remote sensing 11 (3), 298, 2019 | 22 | 2019 |
