Hengbiao Zheng
Orcid: 0009-0008-4778-0450
According to our database1,
Hengbiao Zheng
authored at least 30 papers
between 2016 and 2024.
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Bibliography
2024
Estimation of Rice Leaf Area Index Utilizing a Kalman Filter Fusion Methodology Based on Multi-Spectral Data Obtained from Unmanned Aerial Vehicles (UAVs).
Remote. Sens., June, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Rapidly count crop seedling emergence based on waveform Method(WM) using drone imagery at the early stage.
Comput. Electron. Agric., 2024
Enhancing fusarium head blight detection in wheat crops using hyperspectral indices and machine learning classifiers.
Comput. Electron. Agric., 2024
A chlorophyll-constrained semi-empirical model for estimating leaf area index using a red-edge vegetation index.
Comput. Electron. Agric., 2024
2023
Towards practical semi-empirical models for the estimation of leaf and canopy water contents from hyperspectral reflectance.
Comput. Electron. Agric., November, 2023
2022
MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning.
Remote. Sens., 2022
Comput. Electr. Eng., 2022
2021
AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Combining Remote Sensing and Meteorological Data for Improved Rice Plant Potassium Content Estimation.
Remote. Sens., 2021
AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Improving Unmanned Aerial Vehicle (UAV) remote sensing of rice plant potassium accumulation by fusing spectral and textural information.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery.
Remote. Sens., 2020
Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking.
Remote. Sens., 2020
Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV).
Comput. Electron. Agric., 2020
DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery.
Comput. Electron. Agric., 2020
Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring.
Sensors, 2019
Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation.
Remote. Sens., 2019
Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat.
Remote. Sens., 2019
Exploiting the Textural Information of UAV Multispectral Imagery to Monitor Nitrogen Status in Rice.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle.
Remote. Sens., 2018
Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice.
Remote. Sens., 2018
BRDF Effect on the Estimation of Canopy Chlorophyll Content in Paddy Rice from UAV-Based Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Using an Active-Optical Sensor to Develop an Optimal NDVI Dynamic Model for High-Yield Rice Production (Yangtze, China).
Sensors, 2017
Spectroscopic Estimation of Biomass in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices.
Remote. Sens., 2017
2016
Evaluation of a UAV-based hyperspectral frame camera for monitoring the leaf nitrogen concentration in rice.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Towards decomposing the effects of foliar nitrogen content and canopy structure on rice canopy spectral variability through multi-scale spectral analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016