Spectroscopy and Spectral Analysis, Volume. 40, Issue 11, 3542(2020)
Study on Extracting Characteristic Wavelength of Soybean Physiological Information Based on Hyperspectral Technique
Fig. 1. Characteristic wavelengths selected by CARS algorithm
(a): Chlorophyll content (D1); (b): Chlorophyll content(D2);(c): Light energy utilization (D1); (d): Light energy utilization(D2)
Fig. 2. Characteristic wavelengths selected by SPA algorithm
(a): Chlorophyll content (D1); (b): Chlorophyll content(D2);(c): Light energy utilization (D1); (d): Light energy utilization(D2)
Fig. 3. Characteristic wavelengths selected by CC algorithm
(a): Chlorophyll content (D1); (b): Chlorophyll content(D2);(c): Light energy utilization (D1); (d): Light energy utilization(D2)
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Shuang LIU, Hai-ye YU, Zhao-jia PIAO, Mei-chen CHEN, Tong YU, Li-juan KONG, Lei ZHANG, Jing-min DANG, Yuan-yuan SUI. Study on Extracting Characteristic Wavelength of Soybean Physiological Information Based on Hyperspectral Technique[J]. Spectroscopy and Spectral Analysis, 2020, 40(11): 3542
Category: Research Articles
Received: Sep. 21, 2019
Accepted: --
Published Online: Jun. 18, 2021
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