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Disambiguation of "Zheng, Hengbiao"

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Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data.

, , , , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)

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Hengbiao Liu

Zheng-Zheng Kuang

Jiarong Zheng

Xing Zheng

Zheng Ren-Rong

 

Other publications of authors with the same name

Adaptive enhanced swin transformer with U-net for remote sensing image segmentation., , , , , and . Comput. Electr. Eng., (2022)DESTIN: A new method for delineating the boundaries of crop fields by fusing spatial and temporal information from WorldView and Planet satellite imagery., , , , , , , and . Comput. Electron. Agric., (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., , , , , , , and . Remote. Sens., 12 (6): 957 (2020)Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data., , , , , , , , , and 2 other author(s). IEEE Trans. Geosci. Remote. Sens., (2024)MACA: A Relative Radiometric Correction Method for Multiflight Unmanned Aerial Vehicle Images Based on Concurrent Satellite Imagery., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Assessing the Sensitivity of Semiempirical Models to Spectral Data Quality and Sensor Settings When Estimating Leaf Chlorophyll Content., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning., , , , , , , , , and 1 other author(s). Remote. Sens., 14 (12): 2784 (2022)Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation., , , , , , , , , and . Remote. Sens., 11 (15): 1763 (2019)AAVI: A Novel Approach to Estimating Leaf Nitrogen Concentration in Rice From Unmanned Aerial Vehicle Multispectral Imagery at Early and Middle Growth Stages., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. 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., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)