土壤有机质高光谱灰信息关联估测模型  

Grey Information Relational Estimation Model of Soil Organic Matter Using Hyperspectral Data

作　　者：车红 徐璐 曾令 李西灿[1] CHE Hong;XU Lu;ZENG Ling;LI Xi-can(School of Information Science and Engineering/Shandong Agricultural University,Tai'an 271018,China)

机构地区：[1]山东农业大学信息科学与工程学院,山东泰安271018

出　　处：《山东农业大学学报（自然科学版）》2024年第5期782-788,共7页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：泰安市科技创新发展项目(2021NS090);山东省自然科学基金项目(ZR2022QG037)。

摘　　要：为克服光谱估测中的不确定性,本文基于灰信息理论建立土壤有机质高光谱灰信息关联估测模型。以济南市章丘区的76个样本为基础,首先使用对数倒数的一阶微分、倒数对数的一阶微分等变换方法对光谱数据进行变换,计算相关系数,利用极大相关性原则选取估测因子。然后,根据增息取大法的原理,将每个样本的光谱估测因子进行从小到大的排序,形成灰信息量序列,基于信息链构建土壤有机质高光谱灰信息关联估测模型。最后,对基于不同信息链的估测结果进行两次融合处理,并与常用的估测方法进行对比分析。结果表明,12个检验样本的平均相对误差为5.576%,决定系数R2为0.934,估测精度高于多元线性回归、BP神经网络和支持向量机等常用方法。研究表明本文提出的灰信息关联模型是可行有效的,为土壤性状指标的高光谱估测提供了一种新途径。In order to overcome the uncertainty in hyperspectral estimation,we establishes a hyperspectral grey correlated estimation model of soil organic matter content based on grey information theory.Based on 76 samples in Zhangqiu District,Jinan City,the spectral data are first transformed by mathematical methods such as logarithmic reciprocal and reciprocal logarithmic first-order differentiation,the correlation coefficient is calculated,and the estimation factors are selected by using the principle of maximum correlation.Then,according to the principle of increasing information and taking large method,the spectral estimation factors of each sample are sorted from small to large,and the grey information sequences are formed,and the grey information relational estimation model of soil organic matter content is constructed based on the information chain.Finally,the estimation results based on different information chains are fused twice,and compared with the commonly used estimation methods.The results show that the average relative error of 12 test samples is 5.576%,and the determination coefficient R2 is 0.934,and higher than that of the common methods such as the multiple linear regression,BP neural network and support vector machine and so on.The results show the grey correlated model based on grey information proposed is feasible and effective,and provides a new way for hyperspectral estimation of soil trait indicators.

关 键 词：土壤有机质 高光谱遥感 灰色信息关联 估测模型 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] S151.9[自动化与计算机技术—控制科学与工程]