Fenghua Yu
Orcid: 0009-0002-1488-265X
According to our database1,
Fenghua Yu
authored at least 15 papers
between 1998 and 2024.
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Bibliography
2024
Bilinear Distance Feature Network for Semantic Segmentation in PowerLine Corridor Point Clouds.
Sensors, August, 2024
Estimation of Maize Biomass at Multi-Growing Stage Using Stem and Leaf Separation Strategies with 3D Radiative Transfer Model and CNN Transfer Learning.
Remote. Sens., August, 2024
Expert Syst. Appl., March, 2024
Weighted Heterogeneous Graph-Based Three-View Contrastive Learning for Knowledge Tracing in Personalized e-Learning Systems.
IEEE Trans. Consumer Electron., February, 2024
Research on the rice fertiliser decision-making method based on UAV remote sensing data assimilation.
Comput. Electron. Agric., January, 2024
PIOSL-PRO: Construction of the PIOSL Model Considering the Distribution of Multiple Elements.
IEEE Trans. Geosci. Remote. Sens., 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
2023
PIOSL: An improved version of PROSPECT model for simulating leaf optical properties by considering leaf internal structural variations.
Comput. Electron. Agric., August, 2023
Improved PROSPECT Model Based on Optimization of the Internal Blade Structure and Absorption Coefficient.
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
Detection of Peanut Leaf Spot Disease Based on Leaf-, Plant-, and Field-Scale Hyperspectral Reflectance.
Remote. Sens., 2022
2021
Rice Leaf Blast Classification Method Based on Fused Features and One-Dimensional Deep Convolutional Neural Network.
Remote. Sens., 2021
A method combining ELM and PLSR (ELM-P) for estimating chlorophyll content in rice with feature bands extracted by an improved ant colony optimization algorithm.
Comput. Electron. Agric., 2021
1998