|
|||||
|
|
| 基于小波变换的土壤有机质含量高光谱估测术 | |
| 作者姓名： | Chen HY Zhao GX Li XC Zhu XC Sui L Wang YJ |
| 作者单位： | 1. 山东农业大学资源与环境学院,山东泰安,271018 2. 山东农业大学信息科学与工程学院,山东泰安,271018 3. 沾化县国土资源局,山东沾化,256800 4. 东营市国土资源局河口分局,山东河口,257200 |
| 基金项目： | 高校博士点科研基金项目(20103702110010)资助 |
| 摘 要： | 利用统计分析方法选取了土壤N、P、K元素含量近似而有机质含量差异较大的样本60个,通过高光谱探测分析获得样本反射率对数的一阶导数光谱,采用Bior 1.3函数进行多层离散小波分解,剔除低频近似信号和高频噪声信号,得到反映土壤理化参数的特征光谱曲线;采用相关分析筛选土壤有机质含量的显著相关波段,基于显著相关波段和特征光谱曲线分别构建土壤有机质含量高光谱多元回归估测模型;通过比较分析,确定了提取土壤有机质特征光谱的最佳小波分解尺度并构建了最佳预测模型.结果表明:提取土壤有机质特征光谱的最佳小波分解层数是9层,其次是8层和10层;基于小波9层分解特征光谱曲线的有机质含量估测模型最佳,其决定系数(R2)为0.89,比基于显著相关波段构建模型的R2增加了0.31,比基于原始光谱所构建模型的R2增加了0.10. |
| 关 键 词： | 高光谱 土壤有机质 小波变换 特征光谱 |
Hyper-spectral estimation of soil organic matter content based on wavelet transformation |
|
| Chen HY,Zhao GX,Li XC,Zhu XC,Sui L,Wang YJ.Hyper-spectral estimation of soil organic matter content based on wavelet transformation[J].Chinese Journal of Applied Ecology,2011,22(11):2935-2942. | |
| Authors: | Chen Hong-Yan Zhao Geng-Xing Li Xi-Can Zhu Xi-Cun Sui Long Wang Yin-Juan |
| Institution: | CHEN Hong-yan1,ZHAO Geng-xing1,LI Xi-can2,ZHU Xi-cun1,SUI Long3,WANG Yin-juan4(1College of Resources and Environment,Shandong Agricultural University,Tai'an 271018,Shandong,China,2College of Information Science and Engineering,3Zhanhua Land Resources Bureau,Zhanhua 256800,4Hekou Branch of Dongying Land Resources Bureau,Hekou 257200,China) |
| Abstract: | A total of 60 soil samples with approximate contents of N,P,and K and greatly different content of organic matter were selected by statistical analysis.Through hyper-spectral detection and analysis,the first derivative spectrum of the soil logarithmic reflectance was obtained,and was decomposed by the Bior 1.3 wavelet function.The approximative signal of the lowest frequency and the noise signal of the highest frequency were removed from the input spectrum so as to obtain the characteristic spectrum corresp... |
| Keywords: | hyper-spectra soil organic matter wavelet transformation characteristic spectrum |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ | |