干旱区生态环境知识资源中心(Arid): Hyperspectral Estimation Model of Soil Organic Carbon Content Based on Genetic Algorithm Fused With Continuous Projection Algorithm

Arid

DOI	10.3964/j.issn.1000-0593(2023)07-2232-06
	Hyperspectral Estimation Model of Soil Organic Carbon Content Based on Genetic Algorithm Fused With Continuous Projection Algorithm
	Niu Fang-peng; Li Xin-guo; Bai Yun-gang; Zhao Hui
通讯作者	Li, XG
来源期刊	SPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN	1000-0593
出版年	2023
卷号	43 期号:7 页码:2232-2237
英文摘要	Soil organic carbon content was a major determinant of soil fertility and soil quality and was closely related to soil productivity. The estimation of soil organic carbon content using hyperspectral models has become an important method of understanding soil fertility. Using hyperspectral analysis combined with machine algorithms to achieve rapid and highly accurate estimation of soil organic carbon contents was essential for the sustainable use of soil fertility. Using the measured soil organic carbon content and its hyperspectral reflectance data as the research object, we applied the Savitzky Golay method to smooth and demise the spectral bands, used successive projection algorithm (SPA) and genetic algorithm (GA) to screen the original spectra and its five different mathematical transformed spectra respectively for the characteristic bands, and constructed the random forest (RF) method based on the soil organic carbon content. The hyperspectral estimation model of soil organic carbon content was constructed using the random forest (RF) method. The SPA algorithm was combined with the GA algorithm to find the optimal feature parameters to improve the recognition rate and confidence in the SOC feature bands. The results showed that in the original spectrum, the hyperspectral response bands based on the GA algorithm to screen SOC content were mainly concentrated on 350 similar to 410, 827 similar to 928, 997 similar to 1 064, 1 201 similar to 1 234, 1 541 similar to 1 574, 1 667 similar to 1 710, 2 153 similar to 2 186, 2 357 similar to 2 707 nm. When the RMSE was 6. 09, 11 characteristic variables were screened by the SPA algorithm. The dimension of the original spectrum, standard normal variables (SNV), multiple scattering corrections (MSC), first-order differential (FD), logarithmic reciprocal (RL) and continuum removal (CR) were reduced to 407, 697, 668, 667, 493 and 784 dimensions respectively, accounting for 18. 93%similar to 36. 47% of the full spectral band when filtering the characteristic bands based of the GA algorithm. After screening based on the GA-SPA algorithm, the dimensions of the six spectral variables ranged from 8 to 17 dimensions, and the RMSE ranged from 4. 53 to 6. 30. In the first-order differential spectral form, the RF model constructed based on 12 feature variables selected by the GA-SPA algorithm predicted the best results from a modeling set R-C(2) of 0. 78 and RMSEC of 5. 48, a validation set R-P(2) of 0. 82, RMSEP of 4. 50, and RPD of 2. 18. It was shown that the first-order spectral differentiation could enhance the spectral information about soil, the GA algorithm combined with the SPA algorithm to find the spectral feature variables simplifies the complexity. It improves the accuracy of the estimation model, and the hyper spectral model based on the genetic algorithm-continuous projection algorithm has a high estimation capability.
英文关键词	Soil organic carbon content Successive projection algorithm Genetic algorithm Hyperspectral estimation model Lakeside oasis
类型	Article
语种	中文
收录类别	SCI-E
WOS记录号	WOS:001027843400034
WOS类目	Spectroscopy
WOS研究方向	Spectroscopy
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398716
推荐引用方式 GB/T 7714	Niu Fang-peng,Li Xin-guo,Bai Yun-gang,et al. Hyperspectral Estimation Model of Soil Organic Carbon Content Based on Genetic Algorithm Fused With Continuous Projection Algorithm[J],2023,43(7):2232-2237.
APA	Niu Fang-peng,Li Xin-guo,Bai Yun-gang,&Zhao Hui.(2023).Hyperspectral Estimation Model of Soil Organic Carbon Content Based on Genetic Algorithm Fused With Continuous Projection Algorithm.SPECTROSCOPY AND SPECTRAL ANALYSIS,43(7),2232-2237.
MLA	Niu Fang-peng,et al."Hyperspectral Estimation Model of Soil Organic Carbon Content Based on Genetic Algorithm Fused With Continuous Projection Algorithm".SPECTROSCOPY AND SPECTRAL ANALYSIS 43.7(2023):2232-2237.