Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2181(2021)
Detection of Rice Sheath Blight Disease Index Based on Split-Window Gram-Schmidt Transformation and PSO-SVR Algorithm
Fig. 2. The original spectral reflectance curves of rice under the condition of three degrees of rice sheath blight
(a): Low altitude remote sensing canopy; (b): Ground canopy
Fig. 3. First-order derivative spectral reflectance curves of rice under the condition of three degrees of rice sheath blight
(a): Low altitude remote sensing canopy; (b): Ground canopy
Fig. 4. Inverse-log spectral reflectance curves of rice under the condition of three degrees of rice sheath blight
(a): Low altitude remote sensing canopy; (b): Ground canopy
Fig. 5. Main base and characteristic wavelength based on window dividing Gram-Schmidt transform
(a): IRS of the low altitude remote sensing canopy; (b): FDRS of the ground canopy
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Wen XIAO, Ying-li CAO, Shuai FENG, Ya-di LIU, Kai-lun JIANG, Zheng-xin YU, Li YAN. Detection of Rice Sheath Blight Disease Index Based on Split-Window Gram-Schmidt Transformation and PSO-SVR Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2181
Category: Research Articles
Received: Jul. 2, 2020
Accepted: --
Published Online: Sep. 8, 2021
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