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Congying Zhou
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2020 – today
- 2024
- [j6]Kai Zhang, Jie Deng
, Congying Zhou, Jiangui Liu, Xuan Lv, Ying Wang, Enhong Sun, Yan Liu, Zhanhong Ma, Jiali Shang:
Using UAV hyperspectral imagery and deep learning for Object-Based quantitative inversion of Zanthoxylum rust disease index. Int. J. Appl. Earth Obs. Geoinformation 135: 104262 (2024) - 2023
- [j5]Jie Deng
Pixel-level regression for UAV hyperspectral images: Deep learning-based quantitative inverse of wheat stripe rust disease index. Comput. Electron. Agric. 215: 108434 (2023) - [j4]Kai Zhang, Rundong Zhang, Ziqian Yang, Jie Deng
Efficient Wheat Lodging Detection Using UAV Remote Sensing Images and an Innovative Multi-Branch Classification Framework. Remote. Sens. 15(18): 4572 (2023) - [j3]Jie Deng
Quantitative Estimation of Wheat Stripe Rust Disease Index Using Unmanned Aerial Vehicle Hyperspectral Imagery and Innovative Vegetation Indices. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - 2022
- [j2]Jie Deng
Applying convolutional neural networks for detecting wheat stripe rust transmission centers under complex field conditions using RGB-based high spatial resolution images from UAVs. Comput. Electron. Agric. 200: 107211 (2022) - [j1]Jie Deng
Assessing Macro Disease Index of Wheat Stripe Rust Based on Segformer with Complex Background in the Field. Sensors 22(15): 5676 (2022) - 2021
- [c1]Jiankun Huang, Xinjie Feng, Congying Zhou, Yongzhen Chen:
A High-Performance Mel-scale Frequency Cepstral Coefficients Digital Circuit Used on Keyword-Spotting Chip. ASICON 2021: 1-4
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