Study on the Hyperspectral Discrimination Method of Lettuce Leaf Greenness

Jing-jing GUO; Hai-ye YU; Shuang LIU; Fei XIAO; Xiao-man ZHAO; Ya-ping YANG; Shao-nan TIAN; Lei ZHANG

doi:10.3964/j.issn.1000-0593(2022)08-2557-08

Spectroscopy and Spectral Analysis, Volume. 42, Issue 8, 2557(2022)

Study on the Hyperspectral Discrimination Method of Lettuce Leaf Greenness

Jing-jing GUO1,*... Hai-ye YU1,1;, Shuang LIU2,2;, Fei XIAO1,1;, Xiao-man ZHAO1,1;, Ya-ping YANG1,1;, Shao-nan TIAN1,1; and Lei ZHANG1,1; *; |Show fewer author(s)

Author Affiliations

¹1. School of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China

²2. College of Horticulture, Jilin Agricultural University, Changchun 130118, China

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Figures & Tables(8)

Fig. 1. Hyperspectral characteristics of lettuce in different growth periods
(a): 10 days; (b): 20 days; (c) 30 days

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Fig. 2. Hyperspectra pretreated different combinations of pretreatment
(a): Original spectra; (b): Pretreated by MSC+SG;(c): Pretreated by SNV+SG; (d): Pretreated by FD+SG

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Fig. 3. Extraction of sensitive wavelengths by CARS method
(a): Original spectra; (b): Pretreated by MSC+SG;(c): Pretreated by SNV+SG; (d): Pretreated by FD+SG

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Fig. 4. Equipotential diagrams of correlation coefficient between vegetation index and SPAD value
(a): DI and SPAD; (b): NDVI and SPAD; (c): mSR and SPAD;(d): mNDI and SPAD; (e): SAVI and SPAD; (f): TVI and SPAD

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Table 1. Hyperspectral sensitive wavelengths extracted by CARS method
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Table 1. Hyperspectral sensitive wavelengths extracted by CARS method
预处理方法敏感波长个数 RMSECV_min 采样次数
无 5 0.357 8 41
MSC+SG 51 0.245 6 20
SNV+SG 8 0.299 5 38
FD+SG 259 0.140 5 5

Table 2. Full names, formula and references of vegetation indices

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Table 2. Full names, formula and references of vegetation indices

植被指数名称	公式	参考文献
差值指数 difference index (DI)	R_m-R_n	[12]
归一化差值植被指数 oormalized difference vegetation index (NDVI)	$\frac{R_{m} - R_{n}}{R_{m} + R_{n}}$	[12]
修正简单比值指数 modified simple ratio (mSR)	$\frac{R_{m} - R_{550}}{R_{n} - R_{550}}$	[13]
修正归一化差值指数 modified normalized difference index (mNDI)	$\frac{R_{m} - R_{n}}{R_{m} + R_{n} - 2 R_{550}}$	[13]
土壤调节植被指数 soil-adjusted vegetation index (SAVI)	(1+0.16) $\frac{R_{m} - R_{n}}{R_{m} + R_{n} + 0.16}$	[12]
三角形植被指数 triangular vegetation index (TVI)	0.5×(120×(R_m-R₅50)-200×(R_n-R₅₅₀))	[14]

Table 3. Extraction of effective wavelength combinations after different pretreatments

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Table 3. Extraction of effective wavelength combinations after different pretreatments

植被指数	原始高光谱		FD+SG		SNV+SG		MSC+SG
植被指数	r_max	(m, n)/nm	r_max	(m, n)/nm	r_max	(m, n)/nm	r_max	(m, n)/nm
NDVI	0.809 7	(721, 720)	0.813 3	(520, 689)	0.811 0	(732, 519)	0.815 8	(643, 614)
DI	0.813 4	(643, 634)	0.821 4	(520, 689)	0.815 4	(513, 520)	0.815 1	(644, 519)
mSR	0.826 1	(519, 508)	0.820 0	(520, 689)	0.826 1	(519, 521)	0.826 1	(645, 508)
mNDI	0.825 7	(519, 508)	0.822 2	(520, 689)	0.827 5	(519, 522)	0.825 7	(646, 508)
SAVI	0.810 2	(721, 720)	0.821 6	(520, 689)	0.810 9	(512, 523)	0.815 1	(647, 519)
TVI	0.812 4	(521, 519)	0.818 4	(520, 689)	0.809 7	(512, 524)	0.809 6	(648, 724)

Table 4. Results of lettuce chlorophyll content prediction model combined with different methods

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Table 4. Results of lettuce chlorophyll content prediction model combined with different methods

模型编号	预处理方法	敏感波长提取方法	建模方法	$R_{c}^{2}$	$R_{p}^{2}$	RMSEC	RMSEP
Y1	无	无	PLS	0.708 2	0.650 1	2.405 2	2.798 6
Y2		无	LS-SVM	0.714 5	0.652 1	2.374 5	2.726 9
Y3		VI	PLS	0.795 7	0.752 0	2.368 5	2.680 8
Y4		VI	LS-SVM	0.800 2	0.788 2	2.313 7	2.548 8
Y5		CARS	PLS	0.815 9	0.761 1	2.275 0	2.653 0
Y6		CARS	LS-SVM	0.825 8	0.774 3	2.202 8	2.618 9
Y7	FD+SG	VI	PLS	0.849 0	0.792 0	1.802 8	2.500 1
Y8		VI	LS-SVM	0.888 5	0.820 7	1.524 4	2.400 9
Y9		CARS	PLS	0.859 9	0.799 5	1.677 0	2.489 4
Y10		CARS	LS-SVM	0.920 7	0.828 8	1.161 0	2.400 8
Y11	MSC+SG	VI	LS	0.796 6	0.786 9	2.351 2	2.563 6
Y12		VI	LS-SVM	0.801 6	0.788 8	2.331 9	2.557 0
Y13		CARS	PLS	0.799 6	0.789 9	2.224 4	2.560 8
Y14		CARS	LS-SVM	0.844 7	0.791 1	2.160 0	2.537 7
Y15	SNV+SG	VI	LS	0.798 1	0.761 1	2.345 4	2.628 1
Y16		VI	LS-SVM	0.800 7	0.771 3	2.361 0	2.617 9
Y17		CARS	PLS	0.799 1	0.771 1	2.335 4	2.619 1
Y18		CARS	LS-SVM	0.838 8	0.790 1	1.866 6	2.613 9

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Jing-jing GUO, Hai-ye YU, Shuang LIU, Fei XIAO, Xiao-man ZHAO, Ya-ping YANG, Shao-nan TIAN, Lei ZHANG. Study on the Hyperspectral Discrimination Method of Lettuce Leaf Greenness[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2557

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