| Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage Z Yu, Z Cao, X Wu, X Bai, Y Qin, W Zhuo, Y Xiao, X Zhang, H Xue Agricultural and forest meteorology 174, 65-84, 2013 | 169 | 2013 |
| Crop segmentation from images by morphology modeling in the CIE L* a* b* color space XD Bai, ZG Cao, Y Wang, ZH Yu, XF Zhang, CN Li Computers and electronics in agriculture 99, 21-34, 2013 | 147 | 2013 |
| Vegetation segmentation robust to illumination variations based on clustering and morphology modelling X Bai, Z Cao, Y Wang, Z Yu, Z Hu, X Zhang, C Li Biosystems engineering 125, 80-97, 2014 | 75 | 2014 |
| Crop feature extraction from images with probabilistic superpixel Markov random field M Ye, Z Cao, Z Yu, X Bai Computers and Electronics in Agriculture 114, 247-260, 2015 | 49 | 2015 |
| An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency M Ye, Z Cao, Z Yu MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems …, 2013 | 28 | 2013 |
| Fast non-rigid image feature matching for agricultural UAV via probabilistic inference with regularization techniques Z Yu, H Zhou, C Li Computers and Electronics in Agriculture 143, 79-89, 2017 | 25 | 2017 |
| Ship detection from optical satellite image using optical flow and saliency C Deng, Z Cao, Z Fang, Z Yu MIPPR 2013: remote sensing image processing, geographic information systems …, 2013 | 19 | 2013 |
| TasselLFANet: A Novel Lightweight Multi-Branch Feature Aggregation Neural Network for High-throughput Image-based Maize Tassels Detection and Counting Z Yu, J Ye, C Li, H Zhou, X Li Frontiers in Plant Science 14, 1291, 2023 | 18 | 2023 |
| Plant Detection and Counting: Enhancing Precision Agriculture in UAV and General Scenes ZY Dunlu Lu, Jianxiong Ye, Yangxu Wang IEEE Access 11 (1), 116196 - 116205, 2023 | 16 | 2023 |
| Image deformation with vector-field interpolation based on MRLS-TPS H Zhou, Y Kuang, Z Yu, S Ren, Y Zhang, T Lu, J Ma IEEE Access 6, 75886-75898, 2018 | 15 | 2018 |
| Image classification using HTM cortical learning algorithms W Zhuo, Z Cao, Y Qin, Z Yu, Y Xiao Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 15 | 2012 |
| WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression network J Ye, Z Yu, Y Wang, D Lu, H Zhou Plant Methods 19 (1), 103, 2023 | 14 | 2023 |
| Feature guided non-rigid image/surface deformation via moving least squares with manifold regularization H Zhou, J Ma, Y Zhang, Z Yu, S Ren, D Chen 2017 IEEE International Conference on Multimedia and Expo (ICME), 1063-1068, 2017 | 13 | 2017 |
| Feature matching for remote sensing image registration via manifold regularization H Zhou, A Dai, T Tian, Y Tian, Z Yu, Y Wu, Y Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 10 | 2020 |
| Robust key point descriptor for multi-spectral image matching Y Qin, Z Cao, W Zhuo, Z Yu Journal of Systems Engineering and Electronics 25 (4), 681-687, 2014 | 10 | 2014 |
| An image-based automatic recognition method for the flowering stage of maize Z Yu, H Zhou, C Li MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems …, 2018 | 7 | 2018 |
| Specularity-invariant crop extraction with probabilistic super-pixel Markov random field Z Yu, Z Cao, M Ye, X Bai, Y Li, Y Wang MIPPR 2013: Automatic Target Recognition and Navigation 8918, 31-38, 2013 | 7 | 2013 |
| PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting J Ye, Z Yu, Y Wang, D Lu, H Zhou Engineering Applications of Artificial Intelligence 130, 107704, 2024 | 6 | 2024 |
| Design of two-dimensional hybrid organic–inorganic perovskite for solar cell ZQ Ma, Z Yu, X Zhu, P Lin, L Sun Energy Reports 8, 538-544, 2022 | 6 | 2022 |
| Image classification based on region of interest detection H Zhou, Y Zhang, Z Yu MIPPR 2015: Pattern Recognition and Computer Vision 9813, 201-207, 2015 | 6 | 2015 |
Zhiguo CaoHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
