About
Contact & Profiles
A5054822081
Research Areas
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Powdery Mildew Fungal Diseases
- Advanced Image Fusion Techniques
- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Remote Sensing and LiDAR Applications
- Neural Networks and Reservoir Computing
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
East China Jiaotong University
2023-2024
Zhejiang University
2023
10.1016/j.isprsjprs.2023.07.001
article
EN
ISPRS Journal of Photogrammetry and Remote Sensing
2023-07-15
Accurate monitoring of rice phenology is critical for crop management, cultivars breeding, and yield estimating. Previously, research detection relied on time-series data orthomosaic manually plotted regions, which are difficult to automate. This study presented a novel approach extracting mapping phenological traits directly from the unmanned aerial vehicle (UAV) photograph sequence. First, multi-stage field segmentation dataset containing four growth stages 2600 images, namely PaddySeg,...
10.3390/drones7020083
article
EN
cc-by
Drones
2023-01-25
10.1007/s12274-023-6343-1
article
EN
Nano Research
2023-12-28
10.1109/tgrs.2024.3486787
article
EN
IEEE Transactions on Geoscience and Remote Sensing
2024-01-01
10.13031/aim.202401108
article
EN
2024-01-01
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