基于低空无人机影像光谱和纹理特征的棉花氮素营养诊断研究
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陈鹏飞1,2,梁飞3
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Cotton Nitrogen Nutrition Diagnosis Based on Spectrum and Texture Feature of Images from Low Altitude Unmanned Aerial Vehicle
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CHEN PengFei 1,2,LIANG Fei 3
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图4. 不同情景下棉花植株氮浓度反演结果 A:剔除土壤背景信息前的建模结果;B:剔除土壤背景信息前的验证结果;C:剔除土壤背景信息后的建模结果;D:剔除土壤背景信息后的验证结果;E:剔除土壤背景信息+增加纹理信息的建模结果;F:剔除土壤背景信息+增加纹理信息的验证结果
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Fig. 4. Prediction results of cotton plant nitrogen concentration under different scenarios A: Calibration results before removing soil background; B: Validation results before removing soil background; C: Calibration results after removing soil background; D: Validation results after removing soil background; E: Calibration results after removing soil background and adding texture information; F: Validation results after removing soil background and adding texture information
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